Publications and Collaborations of Abram Hindle

GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing

Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei
Proceedings of the 41st{ACM/IEEE} International Conference on Software Engineering (ICSE) Montreal, Canada
2019 1--12
Acceptance:109/529 or 21%
PDF
Energy consumption is a concern in the data-center and at the edge, on mobile devices such as smartphones. Software that consumes too much energy threatens the utility of the end-user's mobile device. Energy consumption is fundamentally a systemic kind of performance and hence it should be addressed at design time via a software architecture that supports it, rather than after release, via some form of refactoring. Unfortunately developers often lack knowledge of what kinds of designs and architectures can help address software energy consumption. In this paper we show that some simple design choices can have significant effects on energy consumption. In particular we examine the Model-View-Controller architectural pattern and demonstrate how converting to Model-View-Presenter with bundling can improve the energy performance of both benchmark systems and real world applications. We show the relationship between energy consumption and bundled and delayed view updates: bundling events in the presenter can often reduce energy consumption by 30%.
@inproceedings{chowdhury2019ICSE-greenbundle,
 abstract = {Energy consumption is a concern in the data-center and at the edge, on mobile devices such as smartphones.  Software that consumes too much energy threatens the utility of the end-user's mobile device.  Energy consumption is fundamentally a systemic kind of performance and hence it should be addressed at design time via a software architecture that supports it, rather than after release, via some form of refactoring.  Unfortunately developers often lack knowledge of what kinds of designs and architectures can help address software energy consumption. In this paper we show that some simple design choices can have significant effects on energy consumption. In particular we examine the Model-View-Controller architectural pattern and demonstrate how converting to Model-View-Presenter with bundling can improve the energy performance of both benchmark systems and real world applications. We show the relationship between energy consumption and bundled and delayed view updates: bundling events in the presenter can often reduce energy consumption by 30%.},
 accepted = {2018-12-01},
 author = {Shaiful Alam Chowdhury and Abram Hindle and Rick Kazman and Takumi Shuto and Ken Matsui and Yasutaka Kamei},
 authors = {Shaiful Alam Chowdhury, Abram Hindle, Rick Kazman, Takumi Shuto, Ken Matsui, Yasutaka Kamei},
 booktitle = {Proceedings of the 41st{ACM/IEEE} International Conference on Software Engineering (ICSE)},
 code = {chowdhury2019ICSE-greenbundle},
 date = {2019-05-30},
 funding = {NSERC Discovery, JSPS},
 location = {Montreal, Canada},
 pagerange = {1--12},
 pages = {1--12},
 rate = {109/529 or 21%},
 role = { Author},
 title = {GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/chowdhury2019ICSE-greenbundle.pdf},
 venue = {Proceedings of the 41st{ACM/IEEE} International Conference on Software Engineering (ICSE)},
 year = {2019}
}

What do developers know about machine learning: a study of ML discussions on StackOverflow

Abdul Ali Bangash, Hareem Sahar, Shaiful Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali
Proceedings of the 6th International Conference on Mining Software Repositories (MSR19) Montreal, Canada
2019 1--5
Acceptance:14/27 or 52%
PDF
Machine learning is a branch of Artificial Intelligence that lets computers learn from experience instead of being explicitly programmed to do everything. It is growing in popularity over time and is successfully being used for some of the Software Engineering tasks today e.g. bug prediction and software development effort estimation. In order to gain deeper insights into the uses of machine learning in software engineering context, we conduct a study on SOTorrent dataset that contains Stackoverflow posts from 2008 to 2018. We studied almost 28000 machine learning posts spanning a ten year interval and identified the problems of software engineering addressed by machine learning. Our analyses on the metadata of posts show that ample support for classical machine learning problems is available on Stackoverflow. However, state-of-the-art machine learning algorithms and technologies currently lack support, probably because of their less prevalence in the software engineering community as of now. We believe that the insights provided by our study will be useful for software engineers, educators and practitioners alike.
@inproceedings{bangash2019MSRChallenge-ML,
 abstract = {Machine learning is a branch of Artificial Intelligence that lets computers learn from experience instead of being explicitly programmed to do everything. It is growing in popularity over time and is successfully being used for some of the Software Engineering tasks today e.g. bug prediction and software development effort estimation. In order to gain deeper insights into the uses of machine learning in software engineering context, we conduct a study on SOTorrent dataset that contains Stackoverflow posts from 2008 to 2018. We studied almost 28000 machine learning posts spanning a ten year interval and identified the problems of software engineering addressed by machine learning. Our analyses on the metadata of posts show that ample support for classical machine learning problems is available on Stackoverflow. However, state-of-the-art machine learning algorithms and technologies currently lack support, probably because of their less prevalence in the software engineering community as of now. We believe that the insights provided by our study will be useful for software engineers, educators and practitioners alike.},
 accepted = {2019-03-01},
 author = {Abdul Ali Bangash and Hareem Sahar and Shaiful Chowdhury and Alexander William Wong and Abram Hindle and Karim Ali},
 authors = {Abdul Ali Bangash, Hareem Sahar, Shaiful Chowdhury, Alexander William Wong, Abram Hindle, Karim Ali},
 booktitle = {Proceedings of the 6th International Conference on Mining Software Repositories (MSR19)},
 code = {bangash2019MSRChallenge-ML},
 date = {2019-05-26},
 funding = {NSERC Discovery},
 location = {Montreal, Canada},
 pagerange = {1--5},
 pages = {1--5},
 rate = {14/27 or 52%},
 role = {Co-Author},
 title = {What do developers know about machine learning: a study of ML discussions on StackOverflow},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/bangash2019MSRChallenge-ML.pdf},
 venue = {Proceedings of the 6th International Conference on Mining Software Repositories (MSR19)},
 year = {2019}
}

Complexity: Let's Not Make This Complicated

Abram Hindle
IEEE Software
2019 130--132
PDF
Publisher Link
DOI:10.1109/MS.2018.2883875
Invited, not peer reviewed.
Complexity != Complicated
@article{hindle2019Software-Complexity,
 abstract = {Complexity != Complicated},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 code = {hindle2019Software-Complexity},
 date = {2019-02-27},
 doi = {10.1109/MS.2018.2883875},
 funding = {NSERC Discovery},
 journal = {IEEE Software},
 notes = {Invited, not peer reviewed.},
 pagerange = {130--132},
 pages = {130--132},
 payurl = {https://doi.org/10.1109/MS.2018.2883875},
 role = {Invited Opinion},
 title = {Complexity: Let's Not Make This Complicated},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2019Software-Complexity.pdf},
 venue = {IEEE Software},
 volume = {36(2)},
 year = {2019}
}

Automatic topic classification of test cases using text mining at an Android smartphone vendor

Junji Shimagaki, Yasutaka Kamei, Naoyasu Ubayashi, Abram Hindle
Proceedings of the 12th {ACM/IEEE} International Symposium on Empirical Software Engineering and Measurement (ESEM) Olulu, Finland
2018 1--10
Acceptance:12/28 or 43%
PDF
ESEM Best Industrial Paper Award
Background: An Android smartphone is an ecosystem of applications, drivers, operating system components, and assets. The volume of the software is large and the number of test cases needed to cover the functionality of an Android system is substantial. Enormous effort has been already taken to properly quantify "what features and apps were tested and verified?". This insight is provided by dashboards that summarize test coverage and results per feature. One method to achieve this is to manually tag or label test cases with the topic or function they cover, much like function points. At the studied Android smartphone vendor, tests are labelled with manually defined tags, so-called "feature labels (FLs)", and the FLs serve to categorize 100s to 1000s test cases into 10 to 50 groups.\nAim: Unfortunately for developers, manual assignment of FLs to 1000s of test cases is a time consuming task, leading to inaccurately labeled test cases, which will render the dashboard useless. We created an automated system that suggests tags/labels to the developers for their test cases rather than manual labeling.\nMethod: We use machine learning models to predict and label the functionality tested by 10,000 test cases developed at the company.\nResults: Through the quantitative experiments, our models achieved acceptable F-1 performance of 0.3 to 0.88. Also through the qualitative studies with expert teams, we showed that the hierarchy and path of tests was a good predictor of a feature's label.\nConclusions: We find that this method can reduce tedious manual effort that software developers spent classifying test cases, while providing more accurate classification results.
@inproceedings{junji2018EMSE-topics,
 abstract = {Background: An Android smartphone is an ecosystem of applications, drivers, operating system components, and assets. The volume of the software is large and the number of test cases needed to cover the functionality of an Android system is substantial. Enormous effort has been already taken to properly quantify "what features and apps were tested and verified?". This insight is provided by dashboards that summarize test coverage and results per feature. One method to achieve this is to manually tag or label test cases with the topic or function they cover, much like function points. At the studied Android smartphone vendor, tests are labelled with manually defined tags, so-called "feature labels (FLs)", and the FLs serve to categorize 100s to 1000s test cases into 10 to 50 groups.\nAim: Unfortunately for developers, manual assignment of FLs to 1000s of test cases is a time consuming task, leading to inaccurately labeled test cases, which will render the dashboard useless. We created an automated system that suggests tags/labels to the developers for their test cases rather than manual labeling.\nMethod: We use machine learning models to predict and label the functionality tested by 10,000 test cases developed at the company.\nResults: Through the quantitative experiments, our models achieved acceptable F-1 performance of 0.3 to 0.88. Also through the qualitative studies with expert teams, we showed that the hierarchy and path of tests was a good predictor of a feature's label.\nConclusions: We find that this method can reduce tedious manual effort that software developers spent classifying test cases, while providing more accurate classification results.},
 accepted = {2018-08-15},
 author = {Junji Shimagaki and Yasutaka Kamei and Naoyasu Ubayashi and Abram Hindle},
 authors = {Junji Shimagaki, Yasutaka Kamei, Naoyasu Ubayashi, Abram Hindle},
 booktitle = {Proceedings of the 12th {ACM/IEEE} International Symposium on Empirical Software Engineering and Measurement (ESEM)},
 code = {junji2018EMSE-topics},
 date = {2018-10-11},
 funding = {NSERC Discovery, JSPS},
 location = {Olulu, Finland},
 notes = {ESEM Best Industrial Paper Award},
 pagerange = {1--10},
 pages = {1--10},
 rate = {12/28 or 43%},
 role = { Author},
 title = {Automatic topic classification of test cases using text mining at an Android smartphone vendor},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/junji2018EMSE-topics.pdf},
 venue = {Proceedings of the 12th {ACM/IEEE} International Symposium on Empirical Software Engineering and Measurement (ESEM)},
 year = {2018}
}

If you bill it, they will pay: Energy consumption in the cloud will be irrelevant until directly billed for

Abram Hindle
Proceedings of the 7th International Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy)
2018 1--2
PDF
Don't leave the lights on! One reason we take energy consumption seriously is because we are directly billed for it. If one leaves the heat on high over night the effect is noticeable on the next bill. Yet as granular as cloud computing billing can be in terms of resources and quality of service, we have limited motivation to investigate energy consumption in the cloud because cloud customers cannot necessarily realize savings. Proxies for quality of service such as lower performance CPU allocations can be used but at no point does a user see a bill listing energy consumption. Furthermore the difficulty in billing energy consumption of virtualized services is non-trivial and indirect. When many VMs share the same host, attribution of energy consumption becomes difficult. When many hosts are in the same datacenter attribution of cooling costs become difficult as well. Thus due to the direct and indirect costs of running a cloud, and the sharing of resourcing pricing cloud energy consumption is difficult and typically not done. We argue that until energy consumption of hosted computers, VMs, and cloud services is pushed down from the cloud provider to the cloud consumer, datacenters will continue to consume massive amounts of energy to provide software services. When cloud end-users have to pay for energy consumption they will consider optimizing energy consumption. Once energy consumption in the cloud is a bill line item, energy consumption will become a first class performance non-functional requirement of software.
@inproceedings{hindle2018SUSY4RE,
 abstract = {  Don't leave the lights on! One reason we take energy consumption seriously is because we are directly billed for it.  If one leaves the heat on high over night the effect is noticeable on the next bill.  Yet as granular as cloud computing billing can be in terms of resources and quality of service, we have limited motivation to investigate energy consumption in the cloud because cloud customers cannot necessarily realize savings.  Proxies for quality of service such as lower performance CPU allocations can be used but at no point does a user see a bill listing energy consumption.  Furthermore the difficulty in billing energy consumption of virtualized services is non-trivial and indirect.  When many VMs share the same host, attribution of energy consumption becomes difficult.  When many hosts are in the same datacenter attribution of cooling costs become difficult as well.  Thus due to the direct and indirect costs of running a cloud, and the sharing of resourcing pricing cloud energy consumption is difficult and typically not done.  We argue that until energy consumption of hosted computers, VMs, and cloud services is pushed down from the cloud provider to the cloud consumer, datacenters will continue to consume massive amounts of energy to provide software services.  When cloud end-users have to pay for energy consumption they will consider optimizing energy consumption.  Once energy consumption in the cloud is a bill line item, energy consumption will become a first class performance non-functional requirement of software.  },
 accepted = {2018-07-07},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {Proceedings of the 7th International Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy)},
 code = {hindle2018SUSY4RE},
 date = {2018-08-20},
 funding = {NSERC Discovery},
 pagerange = {1--2},
 pages = {1--2},
 role = {author},
 title = {If you bill it, they will pay: Energy consumption in the cloud will be irrelevant until directly billed for},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2018SUSY4RE.pdf},
 venue = {Proceedings of the 7th International Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy)},
 year = {2018}
}

Preventing Duplicate Bug Reports by Continuously Querying Bug Reports

Abram Hindle, Curtis Onuckzo
Empirical Software Engineering
2018 1--38
PDF
Bug deduplication or duplicate bug report detection is a hot topic in software engineering information retrieval research, but it is often not deployed. Typically to de-duplicate bug reports developers rely upon the search capabilities of the bug report software they employ, such as Bugzilla, Jira, or Github Issues. These search capabilities range from simple SQL string search to IR-based word indexing methods employed by search engines. Yet too often these searches do very little to stop the creation of duplicate bug reports. Some bug trackers have more than 10% of their bug reports marked as duplicate. Perhaps these bug tracker search engines are not enough? In this paper we propose a method of attempting to prevent duplicate bug reports before they start: continuously querying. That is as the bug reporter types in their bug report their text is used to query the bug database to find duplicate or related bug reports. This continuously querying bug reports allows the reporter to be alerted to duplicate bug reports as they report the bug, rather than formulating queries to find the duplicate bug report. Thus this work ushers in a new way of evaluating bug report deduplication techniques, as well as a new kind of bug deduplication task. We show that simple IR measures can address this problem but also that further research is needed to refine this novel process that is integrate-able into modern bug report systems.
@article{hindle2018EMSE-Continuously-Querying,
 abstract = {Bug deduplication or duplicate bug report detection is a hot topic in software engineering information retrieval research, but it is often not deployed. Typically to de-duplicate bug reports developers rely upon the search capabilities of the bug report software they employ, such as Bugzilla, Jira, or Github Issues. These search capabilities range from simple SQL string search to IR-based word indexing methods employed by search engines. Yet too often these searches do very little to stop the creation of duplicate bug reports. Some bug trackers have more than 10% of their bug reports marked as duplicate. Perhaps these bug tracker search engines are not enough? In this paper we propose a method of attempting to prevent duplicate bug reports before they start: continuously querying. That is as the bug reporter types in their bug report their text is used to query the bug database to find duplicate or related bug reports. This continuously querying bug reports allows the reporter to be alerted to duplicate bug reports as they report the bug, rather than formulating queries to find the duplicate bug report. Thus this work ushers in a new way of evaluating bug report deduplication techniques, as well as a new kind of bug deduplication task. We show that simple IR measures can address this problem but also that further research is needed to refine this novel process that is integrate-able into modern bug report systems.},
 accepted = {2018-07-20},
 author = {Abram Hindle and Curtis Onuckzo},
 authors = {Abram Hindle, Curtis Onuckzo},
 code = {hindle2018EMSE-Continuously-Querying},
 day = {20},
 journal = {Empirical Software Engineering},
 journalid = {EMSE-D-17-00233R2},
 month = {July},
 pagerange = {1--38},
 pages = {1--38},
 published = {2018-07-20},
 role = { Researcher / co-author},
 title = {Preventing Duplicate Bug Reports by Continuously Querying Bug Reports},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2018EMSE-Continuously-Querying.pdf},
 venue = {Empirical Software Engineering},
 year = {2018}
}

How does Docker affect energy consumption? Evaluating workloads in and out of Docker containers

Eddie Antonio Santos, Carson McLean, Christopher Solinas, Abram Hindle
Journal of Software Systems
2018 1--14
PDF
Context: Virtual machines provide isolation of services at the cost of hypervisors and more resource usage. This spurred the growth of systems like Docker that enable single hosts to isolate several applications, similar to VMs, within a low-overhead abstraction called containers. Motivation: Although containers tout low overhead performance, how much do they increase energy use? Methodology: This work statistically compares the energy consumption of three application workloads in Docker and on bare-metal Linux. Results: In all cases, there was a statistically significant (t-test and Wilcoxon p < 0.05) increase in energy consumption when running tests in Docker, mostly due to the performance of I/O system calls. Developers worried about I/O overhead could consider baremetal deployments over Docker container deployments.
@article{santos2018JSS-Docker-Energy,
 abstract = {Context: Virtual machines provide isolation of services at the cost of hypervisors and more resource usage.  This spurred the growth of systems like Docker that enable single hosts to isolate several applications, similar to VMs, within a low-overhead abstraction called containers.
 Motivation: Although containers tout low overhead performance, how much do they increase energy use?
 Methodology: This work statistically compares the energy consumption of three application workloads in Docker and on bare-metal Linux.
 Results: In all cases, there was a statistically significant (t-test and Wilcoxon p < 0.05) increase in energy consumption when running tests in Docker, mostly due to the performance of I/O system calls. Developers worried about I/O overhead could consider baremetal deployments over Docker container deployments.},
 accepted = {2018-07-13},
 author = {Eddie Antonio Santos and Carson McLean and Christopher Solinas and Abram Hindle},
 authors = {Eddie Antonio Santos, Carson McLean, Christopher Solinas, Abram Hindle},
 code = {santos2018JSS-Docker-Energy},
 day = {31},
 journal = {Journal of Software Systems},
 journalid = {JSS-D-17-00355R2},
 month = {May},
 pagerange = {1--14},
 pages = {1--14},
 published = {2018-07-13},
 role = { Researcher / co-author},
 title = {How does Docker affect energy consumption? Evaluating workloads in and out of Docker containers},
 type = {article},
 url = {http://softwareprocess.ca/pubs/santos2018JSS-Docker-Energy.pdf},
 venue = {Journal of Software Systems},
 year = {2018}
}

An exploratory study on assessing the energy impact of logging on Android applications

Shaiful Alam Chowdhury, Silvia Di Nardo, Abram Hindle, Zhen Ming (Jack) Jiang
Empirical Software Engineering
2018 1422--1456
PDF
Publisher Link
DOI:10.1007/s10664-017-9545-x
Execution logs are debug statements that developers insert into their code. Execution logs are used widely to monitor and diagnose the health of software applications. However, logging comes with costs, as it uses computing resources and can have an impact on an application’s performance. Compared with desktop applications, one additional critical computing resource for mobile applications is battery power. Mobile application developers want to deploy energy efficient applications to end users while still maintaining the ability to monitor. Unfortunately, there is no previous work that study the energy impact of logging within mobile applications. This exploratory study investigates the energy cost of logging in Android applications using GreenMiner, an automated energy test-bed for mobile applications. Around 1000 versions from 24 Android applications (e.g., Calculator, FeedEx, Firefox, and VLC) were tested with logging enabled and disabled. To further investigate the energy impacting factors for logging, controlled experiments on a synthetic application were performed. Each test was conducted multiple times to ensure rigorous measurement. Our study found that although there is little to no energy impact when logging is enabled for most versions of the studied applications, about 79% (19/24) of the studied applications have at least one version that exhibit medium to large effect sizes in energy consumption when enabling and disabling logging. To further assess the energy impact of logging, we have conducted a controlled experiment with a synthetic application. We found that the rate of logging and the number of disk flushes are significant factors of energy consumption attributable to logging. Finally, we have examined the relation between the generated OS level execution logs and mobile energy consumption. In addition to the common cross-application log events relevant to garbage collection and graphics systems, some mobile applications also have workload-specific log events that are highly correlated with energy consumption. The regression models built with common log events show mixed performance. Mobile application developers do not need to worry about conservative logging (e.g., logs generated at rates of ≤ 1 message per second), as they are not likely to impact energy consumption. Logging has a negligible effect on energy consumption for most of the mobile applications tested. Although logs have been used effectively to diagnose and debug functional problems, it is still an open problem on how to leverage software instrumentation to debug energy problems.
@article{chowdhury2017EMSE-Logging-and-Energy,
 abstract = {Execution logs are debug statements that developers insert into their code. Execution logs are used widely to monitor and diagnose the health of software applications. However, logging comes with costs, as it uses computing resources and can have an impact on an application’s performance. Compared with desktop applications, one additional critical computing resource for mobile applications is battery power. Mobile application developers want to deploy energy efficient applications to end users while still maintaining the ability to monitor. Unfortunately, there is no previous work that study the energy impact of logging within mobile applications. This exploratory study investigates the energy cost of logging in Android applications using GreenMiner, an automated energy test-bed for mobile applications. Around 1000 versions from 24 Android applications (e.g., Calculator, FeedEx, Firefox, and VLC) were tested with logging enabled and disabled. To further investigate the energy impacting factors for logging, controlled experiments on a synthetic application were performed. Each test was conducted multiple times to ensure rigorous measurement. Our study found that although there is little to no energy impact when logging is enabled for most versions of the studied applications, about 79% (19/24) of the studied applications have at least one version that exhibit medium to large effect sizes in energy consumption when enabling and disabling logging. To further assess the energy impact of logging, we have conducted a controlled experiment with a synthetic application. We found that the rate of logging and the number of disk flushes are significant factors of energy consumption attributable to logging. Finally, we have examined the relation between the generated OS level execution logs and mobile energy consumption. In addition to the common cross-application log events relevant to garbage collection and graphics systems, some mobile applications also have workload-specific log events that are highly correlated with energy consumption. The regression models built with common log events show mixed performance. Mobile application developers do not need to worry about conservative logging (e.g., logs generated at rates of ≤ 1 message per second), as they are not likely to impact energy consumption. Logging has a negligible effect on energy consumption for most of the mobile applications tested. Although logs have been used effectively to diagnose and debug functional problems, it is still an open problem on how to leverage software instrumentation to debug energy problems.},
 accepted = {2018-06-20},
 author = {Shaiful Alam Chowdhury and Silvia Di Nardo and Abram Hindle and Zhen Ming (Jack) Jiang},
 authors = {Shaiful Alam Chowdhury, Silvia Di Nardo, Abram Hindle, Zhen Ming (Jack) Jiang},
 code = {chowdhury2017EMSE-Logging-and-Energy},
 day = {10},
 doi = {10.1007/s10664-017-9545-x},
 journal = {Empirical Software Engineering},
 month = {July},
 pagerange = {1422--1456},
 pages = {1422--1456},
 payurl = {https://doi.org/10.1007/s10664-017-9545-x},
 published = {2018-06-20},
 role = { Researcher / co-author},
 title = {An exploratory study on assessing the energy impact of logging on Android applications},
 type = {article},
 url = {http://softwareprocess.ca/pubs/chowdhury2017EMSE-Logging-and-Energy.pdf},
 venue = {Empirical Software Engineering},
 year = {2018}
}

GreenScaler: Training Software Energy Models With Automatic Test Generation

Shaiful Chowdhury, Stephanie Borle, Stephen Romansky, Abram Hindle
Empirical Software Engineering
2018 1--52
PDF
Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications (apps) are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial, requiring both equipment and expertise, yet researchers have found that software energy consumption can be modelled. Prior works have hinted that with more energy measurement data we can make more accurate energy models. This data, however, was expensive to extract because it required energy measurement of running test cases (rare) or time consuming manually written tests. In this paper, we show that automatic random test generation with resource-utilization heuristics can be used successfully to build accurate software energy consumption models. Code coverage, although well-known as a heuristic for generating and selecting tests in traditional software testing, performs poorly at selecting energy hungry tests. We propose an accurate software energy model,GreenScaler, that is built on random tests with CPU-utilization as the test selection heuristic. GreenScaler not only accurately estimates energy consumption for randomly generated tests, but also for meaningful developer written tests. Also, the produced models are very accurate in detecting energy regressions between versions of the same app. This is directly helpful for the app developers who want to know if a change in the source code, for example, is harmful for the total energy consumption. We also show that developers can use GreenScaler to select the most energy efficient API when multiple APIs are available for solving the same problem. Researchers can also use our test generation methodology to further study how to build more accurate software energy models.
@article{chowdhury2018EMSE-GreenScaler,
 abstract = { Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications (apps) are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial, requiring both equipment and expertise, yet researchers have found that software energy consumption can be modelled.  Prior works have hinted that with more energy measurement data we can make more accurate energy models.  This data, however, was expensive to extract because it required energy measurement of running test cases (rare) or time consuming manually written tests.  In this paper, we show that automatic random test generation with resource-utilization heuristics can be used successfully to build accurate software energy consumption models. Code coverage, although well-known as a heuristic for generating and selecting tests in traditional software testing, performs poorly at selecting energy hungry tests.
 We propose an accurate software energy model,GreenScaler, that is built on random tests with CPU-utilization as the test selection heuristic. GreenScaler not only accurately estimates energy consumption for randomly generated tests, but also for meaningful developer written tests.  Also, the produced models are very accurate in detecting energy regressions between versions of the same app.  This is directly helpful for the app developers who want to know if a change in the source code, for example, is harmful for the total energy consumption.  We also show that developers can use GreenScaler to select the most energy efficient API when multiple APIs are available for solving the same problem. Researchers can also use our test generation methodology to further study how to build more accurate software energy models.},
 accepted = {2018-06-20},
 author = {Shaiful Chowdhury and Stephanie Borle and Stephen Romansky and Abram Hindle},
 authors = {Shaiful Chowdhury, Stephanie Borle, Stephen Romansky, Abram Hindle},
 code = {chowdhury2018EMSE-GreenScaler},
 day = {20},
 journal = {Empirical Software Engineering},
 journalid = {EMSE-D-17-00171R2},
 month = {June},
 pagerange = {1--52},
 pages = {1--52},
 published = {2018-06-20},
 role = { Researcher / co-author},
 title = {GreenScaler: Training Software Energy Models With Automatic Test Generation},
 type = {article},
 url = {http://softwareprocess.ca/pubs/chowdhury2018EMSE-GreenScaler.pdf},
 venue = {Empirical Software Engineering},
 year = {2018}
}

An App Performance Optimization Advisor for Mobile Device App Marketplaces

Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba
Sustainable Computing
2018 1--18
PDF
@article{saborido2018SUSCOM-app-optimization,
 accepted = {2018-05-17},
 author = {Rubén Saborido and Foutse Khomh and Abram Hindle and Enrique Alba},
 authors = {Rubén Saborido, Foutse Khomh, Abram Hindle, Enrique Alba},
 code = {saborido2018SUSCOM-app-optimization},
 day = {17},
 journal = {Sustainable Computing},
 journalid = {SUSCOM_2017_322_R1},
 month = {May},
 pagerange = {1--18},
 pages = {1--18},
 published = {2018-05-17},
 role = { Researcher / co-author},
 title = {An App Performance Optimization Advisor for Mobile Device App Marketplaces},
 type = {article},
 url = {http://softwareprocess.ca/pubs/saborido2018SUSCOM-app-optimization.pdf},
 venue = {Sustainable Computing},
 year = {2018}
}

Training Deep Convolutional Networks with Unlimited Synthesis of Musical Examples for Multiple Instrument Recognition

Rameel Sethi, Noah Weninger, Abram Hindle, Vadim Bulitko, Michael Frishkopf
15th Sound and Music Computing Conference (SMC 2018) Limassol, Cyprus
2018 1--10
PDF
Deep learning has yielded promising results in music information retrieval and other domains compared to machine learning algorithms trained on hand-crafted feature representations, but is often limited by the availability of data and vast hyper-parameter space. It is difficult to obtain large amounts of annotated recordings due to prohibitive labelling costs and copyright restrictions. This is especially true when the MIR task is low-level in nature such as instrument recognition and applied to wide ranges of world instruments, causing most MIR techniques to focus on recovering easily verifiable metadata such as genre. We tackle this data availability problem using two techniques: generation of synthetic recordings using MIDI files and synthesizers, and by adding noise and filters to the generated samples for data augmentation purposes. We investigate the application of deep synthetically trained models to two related low-level MIR tasks of frame-level polyphony detection and instrument classification in polyphonic recordings, and empirically show that deep models trained on synthetic recordings augmented with noise can outperform a majority class baseline on a dataset of polyphonic recordings labeled with predominant instruments.
@inproceedings{sethi2018SMC-synthesis,
 abstract = {Deep learning has yielded promising results in music information retrieval and other domains compared to machine learning algorithms trained on hand-crafted feature representations, but is often limited by the availability of data and vast hyper-parameter space. It is difficult to obtain large amounts of annotated recordings due to prohibitive labelling costs and copyright restrictions. This is especially true when the MIR task is low-level in nature such as instrument recognition and applied to wide ranges of world instruments, causing most MIR techniques to focus on recovering easily verifiable metadata such as genre. We tackle this data availability problem using two techniques: generation of synthetic recordings using MIDI files and synthesizers, and by adding noise and filters to the generated samples for data augmentation purposes. We investigate the application of deep synthetically trained models to two related low-level MIR tasks of frame-level polyphony detection and instrument classification in polyphonic recordings, and empirically show that deep models trained on synthetic recordings augmented with noise can outperform a majority class baseline on a dataset of polyphonic recordings labeled with predominant instruments.},
 accepted = {2018-05-10},
 author = {Rameel Sethi and Noah Weninger and Abram Hindle and Vadim Bulitko and Michael Frishkopf},
 authors = {Rameel Sethi, Noah Weninger, Abram Hindle, Vadim Bulitko, Michael Frishkopf},
 booktitle = {15th Sound and Music Computing Conference (SMC 2018)},
 code = {sethi2018SMC-synthesis},
 date = {2018-05-10},
 funding = {KIAS, NSERC Discovery},
 location = {Limassol, Cyprus},
 pagerange = {1--10},
 pages = {1--10},
 role = { Author},
 title = {Training Deep Convolutional Networks with Unlimited Synthesis of Musical Examples for Multiple Instrument Recognition},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/sethi2018SMC-synthesis.pdf},
 venue = {15th Sound and Music Computing Conference (SMC 2018)},
 year = {2018}
}

What can Android mobile app developers do about the energy consumption of machine learning?

Andrea McIntosh, Safwat Hassan, Abram Hindle
Empirical Software Engineering
2018 1--42
PDF
Machine learning is a popular method of learning functions from data to represent and to classify sensor inputs, multimedia, emails, and calendar events. Smartphone applications have been integrating more and more intelligence in the form of machine learning. Machine learning functionality now appears on most smartphones as voice recognition, spell checking, word disambiguation, face recognition, translation, spatial reasoning, and even natural language summarization. Excited app developers who want to use machine learning on mobile devices face one serious constraint that they did not face on desktop computers or cloud virtual machines: the end-user's mobile device has limited battery life, thus computationally intensive tasks can harm end users' phone availability by draining batteries of their stored energy. Currently, there are few guidelines for developers who want to employ machine learning on mobile devices yet are concerned about software energy consumption of their applications. In this paper, we combine empirical measurements of different machine learning algorithm implementations with complexity theory to provide concrete and theoretically grounded recommendations to developers who want to employ machine learning on smartphones. We conclude that some implementations of algorithms, such as J48, MLP, and SMO, do generally perform better than others in terms of energy consumption and accuracy, and that energy consumption is well-correlated to algorithmic complexity. However, to achieve optimal results a developer must consider their specific application as many factors --- dataset size, number of data attributes, whether the model will require updating, etc. --- affect which machine learning algorithm and implementation will provide the best results.
@article{mcintosh2018EMSE-MLEnergy,
 abstract = {Machine learning is a popular method of learning functions from data to represent and to classify sensor inputs, multimedia, emails, and calendar events. Smartphone applications have been integrating more and more intelligence in the form of machine learning. Machine learning functionality now appears on most smartphones as voice recognition, spell checking, word disambiguation, face recognition, translation, spatial reasoning, and even natural language summarization. Excited app developers who want to use machine learning on mobile devices face one serious constraint that they did not face on desktop computers or cloud virtual machines: the end-user's mobile device has limited battery life, thus computationally intensive tasks can harm end users' phone availability by draining batteries of their stored energy.  Currently, there are few guidelines for developers who want to employ machine learning on mobile devices yet are concerned about software energy consumption of their applications. In this paper, we combine empirical measurements of different machine learning algorithm implementations with complexity theory to provide concrete and theoretically grounded recommendations to developers who want to employ machine learning on smartphones.  We conclude that some implementations of algorithms, such as J48, MLP, and SMO, do generally perform better than others in terms of energy consumption and accuracy, and that energy consumption is well-correlated to algorithmic complexity.  However, to achieve optimal results a developer must consider their specific application as many factors --- dataset size, number of data attributes, whether the model will require updating, etc. --- affect which machine learning algorithm and implementation will provide the best results.},
 accepted = {2018-05-10},
 author = {Andrea McIntosh and Safwat Hassan and Abram Hindle},
 authors = {Andrea McIntosh, Safwat Hassan, Abram Hindle},
 code = {mcintosh2018EMSE-MLEnergy},
 day = {10},
 journal = {Empirical Software Engineering},
 journalid = {EMSE-D-17-00197R2},
 month = {May},
 pagerange = {1--42},
 pages = {1--42},
 published = {2018-05-10},
 role = { Researcher / co-author},
 title = {What can Android mobile app developers do about the energy consumption of machine learning?},
 type = {article},
 url = {http://softwareprocess.ca/pubs/mcintosh2018EMSE-MLEnergy.pdf},
 venue = {Empirical Software Engineering},
 year = {2018}
}

Syntax and Sensibility: Using language models to detect and correct syntax errors

Eddie Antonio Santos, Joshua Charles Campbell, Dhvani Patel, Abram Hindle, José Nelson Amaral
25th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2018) Campobasso, Italy
2018 1--11
PDF
@inproceedings{eddie2018SANER2018sasulmtdacse,
 accepted = {2017-12-18},
 author = {Eddie Antonio Santos and Joshua Charles Campbell and Dhvani Patel and Abram Hindle and José Nelson Amaral},
 authors = {Eddie Antonio Santos, Joshua Charles Campbell, Dhvani Patel, Abram Hindle, José Nelson Amaral},
 blog = {http://www.eddieantonio.ca/blog/2018/01/15/sensibility/},
 booktitle = {25th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2018)},
 date = {2018-04-21},
 funding = {NSERC Discovery, MITACS Accelerate},
 location = {Campobasso, Italy},
 pagerange = {1--11},
 pages = {1--11},
 role = { Author},
 title = {Syntax and Sensibility: Using language models to detect and correct syntax errors},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/santos2018SANER-syntax.pdf},
 venue = {25th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2018)},
 year = {2018}
}

Analyzing the effects of test driven development in GitHub

Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle
Empirical Software Engineering
2017 1--28
PDF
DOI:10.1007/s10664-017-9576-3
Testing is an integral part of the software development lifecycle, approached with varying degrees of rigor by different process models. Agile process models recommend Test Driven Development (TDD) as a key practice for reducing costs and improving code quality. The objective of this work is to perform a cost-benefit analysis of this practice. To that end, we have conducted a comparative analysis of GitHub repositories that adopts TDD to a lesser or greater extent, in order to determine how TDD affects software development productivity and software quality. We classified GitHub repositories archived in 2015 in terms of how rigorously they practiced TDD, thus creating a TDD spectrum. We then matched and compared various subsets of these repositories on this TDD spectrum with control sets of equal size. The control sets were samples from all GitHub repositories that matched certain characteristics, and that contained at least one test file. We compared how the TDD sets differed from the control sets on the following characteristics: number of test files, average commit velocity, number of bug-referencing commits, number of issues recorded, usage of continuous integration, number of pull requests, and distribution of commits per author. We found that Java TDD projects were relatively rare. In addition, there were very few significant differences in any of the metrics we used to compare TDD-like and non-TDD projects; therefore, our results do not reveal any observable benefits from using TDD.
@article{borle2017EMSE-TDD,
 abstract = {Testing is an integral part of the software development lifecycle, approached with varying degrees of rigor by different process models. Agile process models recommend Test Driven Development (TDD) as a key practice for reducing costs and improving code quality. The objective of this work is to perform a cost-benefit analysis of this practice. To that end, we have conducted a comparative analysis of GitHub repositories that adopts TDD to a lesser or greater extent, in order to determine how TDD affects software development productivity and software quality. We classified GitHub repositories archived in 2015 in terms of how rigorously they practiced TDD, thus creating a TDD spectrum. We then matched and compared various subsets of these repositories on this TDD spectrum with control sets of equal size. The control sets were samples from all GitHub repositories that matched certain characteristics, and that contained at least one test file. We compared how the TDD sets differed from the control sets on the following characteristics: number of test files, average commit velocity, number of bug-referencing commits, number of issues recorded, usage of continuous integration, number of pull requests, and distribution of commits per author. We found that Java TDD projects were relatively rare. In addition, there were very few significant differences in any of the metrics we used to compare TDD-like and non-TDD projects; therefore, our results do not reveal any observable benefits from using TDD.},
 accepted = {2017-11-01},
 author = {Neil C. Borle and Meysam Feghhi and Eleni Stroulia and Russell Greiner and Abram Hindle},
 authors = {Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle},
 code = {borle2017EMSE-TDD},
 day = {25},
 doi = {10.1007/s10664-017-9576-3},
 issn = {1573-7616},
 journal = {Empirical Software Engineering},
 journalid = {EMSE-D-17-00057R2},
 month = {Nov},
 pagerange = {1--28},
 pages = {1--28},
 published = {2017-11-25},
 role = { Instructor / co-author},
 title = {Analyzing the effects of test driven development in GitHub},
 type = {article},
 url = {http://softwareprocess.ca/pubs/borle2017EMSE-TDD.pdf},
 venue = {Empirical Software Engineering},
 year = {2017}
}

Deep Green: An Ensemble of Machine Learning Methods Predicting Mobile Energy Consumption

Stephen Romansky, Shaiful Alam Chowdhury, Abram Hindle, Neil Borle, and Russell Greiner
International Conference on Software Maintenance and Evolution Shanghai, China
2017 1--11
Acceptance:42/151 or 27.8%
PDF
@inproceedings{romansky2017ICSME-timeseries,
 accepted = {2017-06-12},
 author = {Stephen Romansky and Shaiful Alam Chowdhury and Abram Hindle and Neil Borle and and Russell Greiner},
 authors = {Stephen Romansky, Shaiful Alam Chowdhury, Abram Hindle, Neil Borle, and Russell Greiner},
 booktitle = {International Conference on Software Maintenance and Evolution},
 code = {romansky2017ICSME-timeseries},
 date = {2017-09-20},
 funding = {NSERC Discovery},
 location = {Shanghai, China},
 pages = {1--11},
 rate = {42/151 or 27.8%},
 title = {Deep Green: An Ensemble of Machine Learning Methods Predicting Mobile Energy Consumption},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/romansky2017ICSME-timeseries.pdf},
 venue = {International Conference on Software Maintenance and Evolution},
 year = {2017}
}

Performance with an Electronically Excited Didgeridoo

Abram Hindle, and Daryl Posnett
New Interfaces for Musical Expression (NIME 2017) Copenhagen, Denmark
2017 1--5
PDF
@inproceedings{abram2017NIME2017pwaeed,
 accepted = {2017-04-04},
 author = {Abram Hindle and and Daryl Posnett},
 authors = {Abram Hindle, and Daryl Posnett},
 booktitle = {New Interfaces for Musical Expression (NIME 2017)},
 date = {2017-05-18},
 funding = {NSERC Discovery},
 location = {Copenhagen, Denmark},
 pagerange = {1--5},
 pages = {1--5},
 role = { Author},
 title = {Performance with an Electronically Excited Didgeridoo},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2017NIME-Dijj.pdf},
 venue = {New Interfaces for Musical Expression (NIME 2017)},
 year = {2017}
}

Isolated guitar transcription using a deep belief network

Gregory Burlet, and Abram Hindle
PeerJ Computer Science
2017 1--30
PDF
@article{burlet2017PeerJ,
 accepted = {2017-03-01},
 author = {Gregory Burlet and and Abram Hindle},
 authors = {Gregory Burlet, and Abram Hindle},
 code = {burlet2017PeerJ},
 funding = {NSERC Discovery},
 issue = {e109},
 journal = {PeerJ Computer Science},
 pagerange = {1--30},
 pages = {1--30},
 published = {2017-03-27},
 role = { Researcher / co-author},
 title = {Isolated guitar transcription using a deep belief network},
 type = {article},
 url = {http://softwareprocess.ca/pubs/burlet2017PeerJ.pdf},
 venue = {PeerJ Computer Science},
 year = {2017}
}

Detecting duplicate bug reports with software engineering domain knowledge

Karan Aggarwal, and Finbarr Timbers, and Tanner Rutgers, and Abram Hindle, and Eleni Stroulia, and Russell Greiner
Journal of Software: Evolution and Process
2017 1--15
PDF
DOI:10.1002/smr.1821
@article{aggarwal2017JSEP,
 accepted = {2016-08-01},
 author = {Karan Aggarwal and and Finbarr Timbers and and Tanner Rutgers and and Abram Hindle and and Eleni Stroulia and and Russell Greiner},
 authors = {Karan Aggarwal, and Finbarr Timbers, and Tanner Rutgers, and Abram Hindle, and Eleni Stroulia, and Russell Greiner},
 code = {aggarwal2017JSEP},
 doi = {10.1002/smr.1821},
 doiurl = {http://dx.doi.org/10.1002/smr.1821},
 issn = {2047-7481},
 issue = {3},
 journal = {Journal of Software: Evolution and Process},
 keywords = {deduplication, documentation, duplicate bug reports, information retrieval, machine learning, software engineering textbooks, software literature},
 note = {e1821 smr.1821},
 pagerange = {1--15},
 pages = {1--15},
 published = {2016-10-27},
 role = { Researcher / co-author},
 title = {Detecting duplicate bug reports with software engineering domain knowledge},
 type = {article},
 url = {http://softwareprocess.ca/pubs/aggarwal2017JSEP.pdf},
 venue = {Journal of Software: Evolution and Process},
 volume = {29},
 year = {2017}
}

Expert Commentary: The potential synthesizer in your pocket

Abram Hindle
A NIME Reader: Fifteen Years of New Interfaces for Musical Expression
2017 116
PDF
@InBook{abram2017ANIMERFYNIMEectpsiyp,
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {A NIME Reader: Fifteen Years of New Interfaces for Musical Expression},
 editors = {Alexander Refsum Jensenius and Michael J. Lyons},
 funding = {NSERC Discovery},
 pagerange = {116},
 pages = {116},
 publisher = {Springer},
 role = {Author},
 srcurl = {https://github.com/alexarje/A-NIME-Reader/blob/master/latex/mainmatter/Roberts_2013/roberts_2013.tex},
 title = {Expert Commentary: The potential synthesizer in your pocket},
 type = {InBook},
 url = {https://github.com/alexarje/A-NIME-Reader/},
 venue = {A NIME Reader: Fifteen Years of New Interfaces for Musical Expression},
 year = {2017}
}

Continuous Maintenance

Candy Pang and Abram Hindle
International Conference on Software Maintenance and Evolution ERA-Track (ICSME-ERA 2016) Raleigh, United States
2016 1--5
Acceptance:14/41 or 34%
PDF
@inproceedings{candy2016ICSMEERA2016cm,
 accepted = {2017-07-29},
 author = {Candy Pang and Abram Hindle},
 authors = {Candy Pang and Abram Hindle},
 booktitle = {International Conference on Software Maintenance and Evolution ERA-Track (ICSME-ERA 2016)},
 date = {2016-10-02},
 funding = {NSERC Discovery},
 location = {Raleigh, United States},
 pages = {1--5},
 rate = {14/41 or 34%},
 region = {North Carolina},
 title = {Continuous Maintenance},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/pang2016ICSMEERA.pdf},
 venue = {International Conference on Software Maintenance and Evolution ERA-Track (ICSME-ERA 2016)},
 year = {2016}
}

Visualizing Project Evolution Through Abstract Syntax Tree Analysis

Michael D. Feist and Eddie Antonio Santos and Ian Watts and Abram Hindle
Software Visualization (VISSOFT), 2016 IEEE 4th Working Conference on Raleigh, United States
2016 1--11
Acceptance:21/48 or 43%
PDF
@inproceedings{michael2016VISSOFTvpetasta,
 accepted = {2016-06-10},
 author = {Michael D. Feist and Eddie Antonio Santos and Ian Watts and Abram Hindle},
 authors = {Michael D. Feist and Eddie Antonio Santos and Ian Watts and Abram Hindle},
 booktitle = {Software Visualization (VISSOFT), 2016 IEEE 4th Working Conference on},
 date = {2016-10-01},
 funding = {NSERC Discovery},
 location = {Raleigh, United States},
 pages = {1--11},
 rate = {21/48 or 43%},
 region = {North Carolina},
 title = {Visualizing Project Evolution Through Abstract Syntax Tree Analysis},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/feist2016VISSOFT-syntax-tree.pdf},
 venue = {Software Visualization (VISSOFT), 2016 IEEE 4th Working Conference on},
 year = {2016}
}

Hacking NIMES

Abram Hindle
New Interfaces for Musical Expression (NIME 2016) Brisbane, Australia
2016 1--6
PDF
@inproceedings{abram2016NIME2016hn,
 accepted = {2016-03-28},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {New Interfaces for Musical Expression (NIME 2016)},
 date = {2016-07-12},
 funding = {NSERC Discovery},
 location = {Brisbane, Australia},
 pagerange = {1--6},
 pages = {1--6},
 role = { Author},
 title = {Hacking NIMES},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2016NIME-hacking-nimes.pdf},
 venue = {New Interfaces for Musical Expression (NIME 2016)},
 year = {2016}
}

Energy Profiles of Java Collections Classes

Samir Hasan, Zachary King, Munawar Hafiz, Mohammed Sayagh, Bram Adams, Abram Hindle
International Conference on Software Engineering (ICSE 2016) Austin, United States
2016 225--236
Acceptance:101/530 or 19%
PDF
Publisher Link
DOI:10.1145/2884781.2884869
ACM SIGSOFT Distinguished Paper Award
@inproceedings{samir2016ICSE2016epojcc,
 accepted = {2015-12-15},
 author = {Samir Hasan and Zachary King and Munawar Hafiz and Mohammed Sayagh and Bram Adams and Abram Hindle},
 authors = {Samir Hasan, Zachary King, Munawar Hafiz, Mohammed Sayagh, Bram Adams, Abram Hindle},
 booktitle = {International Conference on Software Engineering (ICSE 2016)},
 date = {2016-05-14},
 doi = {10.1145/2884781.2884869},
 funding = {NSERC Discovery},
 location = {Austin, United States},
 notes = {ACM SIGSOFT Distinguished Paper Award},
 pagerange = {225--236},
 pages = {225--236},
 payurl = {https://dl.acm.org/citation.cfm?id=2884869},
 rate = {101/530 or 19%},
 region = {Texas},
 role = {Co-author / infrastructure},
 title = {Energy Profiles of Java Collections Classes},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hasan2016ICSE-Energy-Profiles-of-Java-Collections-Classes.pdf},
 venue = {International Conference on Software Engineering (ICSE 2016)},
 year = {2016}
}

GreenOracle: Estimating Software Energy Consumption with Energy Measurement Corpora

Shaiful Chowdhury and Abram Hindle
International Working Conference on Mining Software Repositories (MSR 2016) Austin, United States
2016 49--60
Acceptance:36/103 or 35%
PDF
Publisher Link
DOI:10.1145/2901739.2901763
@inproceedings{shaiful2016MSR2016gesecwemc,
 accepted = {2016-02-29},
 author = {Shaiful Chowdhury and Abram Hindle},
 authors = {Shaiful Chowdhury and Abram Hindle},
 booktitle = {International Working Conference on Mining Software Repositories (MSR 2016)},
 date = {2016-05-14},
 doi = {10.1145/2901739.2901763},
 funding = {NSERC Discovery},
 location = {Austin, United States},
 pagerange = {49--60},
 pages = {49--60},
 payurl = {https://dl.acm.org/citation.cfm?id=2901763},
 rate = {36/103 or 35%},
 region = {Texas},
 role = { Co-author / supervisor},
 title = {GreenOracle: Estimating Software Energy Consumption with Energy Measurement Corpora},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/chowdhury2016MSR-Greenoracle.pdf},
 venue = {International Working Conference on Mining Software Repositories (MSR 2016)},
 year = {2016}
}

The Unreasonable Effectiveness of Traditional Information Retrieval in Crash Report Deduplication

Joshua Charles Campbell, Eddie Antonio Santos and Abram Hindle
International Working Conference on Mining Software Repositories (MSR 2016) Austin, United States
2016 269--280
Acceptance:36/103 or 35%
PDF
Publisher Link
DOI:10.1145/2901739.2901766
@inproceedings{joshua2016MSR2016tueotiricrd,
 author = {Joshua Charles Campbell and Eddie Antonio Santos and Abram Hindle},
 authors = {Joshua Charles Campbell, Eddie Antonio Santos and Abram Hindle},
 booktitle = {International Working Conference on Mining Software Repositories (MSR 2016)},
 date = {2016-05-14},
 doi = {10.1145/2901739.2901766},
 funding = {NSERC Discovery and MITACS Accelerate},
 location = {Austin, United States},
 pagerange = {269--280},
 pages = {269--280},
 payurl = {https://dl.acm.org/citation.cfm?id=2901766},
 rate = {36/103 or 35%},
 region = {Texas},
 role = {Co-author / supervisor},
 title = {The Unreasonable Effectiveness of Traditional Information Retrieval in Crash Report Deduplication},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/campbell2016MSR-partycrasher.pdf},
 venue = {International Working Conference on Mining Software Repositories (MSR 2016)},
 year = {2016}
}

Characterizing Energy-Aware Software Projects: Are They Different?

Shaiful Chowdhury and Abram Hindle
International Working Conference on Mining Software Repositories (MSR 2016) Austin, United States
2016 508--511
Acceptance:10/24 or 42%
PDF
DOI:10.1145/2901739.2903494
@inproceedings{shaiful2016MSR2016cespatd,
 accepted = {2016-03-28},
 author = {Shaiful Chowdhury and Abram Hindle},
 authors = {Shaiful Chowdhury and Abram Hindle},
 booktitle = {International Working Conference on Mining Software Repositories (MSR 2016)},
 date = {2016-05-14},
 doi = {10.1145/2901739.2903494},
 funding = {NSERC Discovery},
 location = {Austin, United States},
 pagerange = {508--511},
 pages = {508--511},
 rate = {10/24 or 42%},
 region = {Texas},
 role = {Co-author / supervisor},
 title = {Characterizing Energy-Aware Software Projects: Are They Different?},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/chowdhuryMSR2016-eProjects.pdf},
 venue = {International Working Conference on Mining Software Repositories (MSR 2016)},
 year = {2016}
}

Judging a commit by its cover: Correlating commit message entropy with build status on Travis-CI

Eddie Antonio Santos and Abram Hindle
International Working Conference on Mining Software Repositories Challenge Track (MSR 2016) Austin, United States
2016 504--507
Acceptance:10/24 or 42%
PDF
Publisher Link
Mining Challenge Award
@inproceedings{eddie2016MSR2016jacbicccmewbsot,
 accepted = {2016-03-28},
 author = {Eddie Antonio Santos and Abram Hindle},
 authors = {Eddie Antonio Santos and Abram Hindle},
 booktitle = {International Working Conference on Mining Software Repositories Challenge Track (MSR 2016)},
 date = {2016-05-14},
 funding = {NSERC Discovery},
 location = {Austin, United States},
 notes = {Mining Challenge Award},
 pagerange = {504--507},
 pages = {504--507},
 payurl = {https://dl.acm.org/citation.cfm?id=2903493},
 publisher = {IEEE},
 rate = {10/24 or 42%},
 region = {Texas},
 role = {Class Project / co-author},
 title = {Judging a commit by its cover: Correlating commit message entropy with build status on Travis-CI},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/santos2016MSR-judging-a-commit-by-its-cover.pdf},
 venue = {International Working Conference on Mining Software Repositories Challenge Track (MSR 2016)},
 year = {2016}
}

Hadoop energy consumption reduction with hybrid HDFS

Ivanilton Polato, Denilson Barbosa, Abram Hindle, Fabio Kon
Proceedings of the 31st Annual {ACM} Symposium on Applied Computing, April 4-8, 2016 Pisa, Italy
2016 406--411
PDF
Publisher Link
DOI:10.1145/2851613.2851623
@inproceedings{ivanilton2016P31AACMSACA482016hecrwhh,
 author = {Ivanilton Polato and Denilson Barbosa and Abram Hindle and Fabio Kon},
 authors = {Ivanilton Polato, Denilson Barbosa, Abram Hindle, Fabio Kon},
 booktitle = {Proceedings of the 31st Annual {ACM} Symposium on Applied Computing, April 4-8, 2016},
 date = {2016-04-04},
 doi = {10.1145/2851613.2851623},
 location = {Pisa, Italy},
 pagerange = {406--411},
 pages = {406--411},
 payurl = {https://dl.acm.org/citation.cfm?id=2851623},
 title = {Hadoop energy consumption reduction with hybrid HDFS},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/polato2016SAC-hadoop.pdf},
 venue = {Proceedings of the 31st Annual {ACM} Symposium on Applied Computing, April 4-8, 2016},
 year = {2016}
}

Crowdsourced Bug Triaging: Leveraging Q\&A Platforms for Bug Assignment

Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia
International Conference on Fundamental Approaches to Software Engineering (FASE 2016) Eindhoven, The Netherlands
2016 231--248
Acceptance:27%
PDF
Publisher Link
DOI:10.1007/978-3-662-49665-7_14
@inproceedings{ali2016FASE2016cbtlqpfba,
 accepted = {2015-12-18},
 author = {Ali Sajedi Badashian and Abram Hindle and Eleni Stroulia},
 authors = {Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia},
 booktitle = {International Conference on Fundamental Approaches to Software Engineering (FASE 2016)},
 date = {2016-04-02},
 doi = {10.1007/978-3-662-49665-7_14},
 funding = {NSERC Discovery},
 location = {Eindhoven, The Netherlands},
 pagerange = {231--248},
 pages = {231--248},
 payurl = {http://link.springer.com/chapter/10.1007%2F978-3-662-49665-7_14},
 rate = {27%},
 role = {Co-author},
 title = {Crowdsourced Bug Triaging: Leveraging Q\&A Platforms for Bug Assignment},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/sajedi2016FASE-crowdsourced-bug-triage.pdf},
 venue = {International Conference on Fundamental Approaches to Software Engineering (FASE 2016)},
 year = {2016}
}

Green Software Engineering: The Curse of Methodology

Abram Hindle
23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) FOSE Track: Leaders of Tomorrow: Future Of Software Engineering Osaka, Japan
2016 529--540
PDF
Publisher Link
DOI:10.1109/SANER.2016.60
Invited but peer-reviewed
@inproceedings{abram2016SANER2016gsetcom,
 accepted = {2015-12-22},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) FOSE Track: Leaders of Tomorrow: Future Of Software Engineering},
 date = {2016-03-14},
 doi = {10.1109/SANER.2016.60},
 funding = {NSERC Discovery},
 location = {Osaka, Japan},
 notes = {Invited but peer-reviewed},
 pagerange = {529--540},
 pages = {529--540},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7476772},
 role = {Author},
 title = {Green Software Engineering: The Curse of Methodology},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2016SANERFOSE-green-software-engineering.pdf},
 venue = {23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) FOSE Track: Leaders of Tomorrow: Future Of Software Engineering},
 year = {2016}
}

Client-Side Energy Efficiency of HTTP/2 for Web and Mobile App Developers

Shaiful Chowdhury, Varun Sapra and Abram Hindle
23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) Osaka, Japan
2016 529--540
Acceptance:52/140 or 37%
PDF
Publisher Link
DOI:10.1109/SANER.2016.77
@inproceedings{shaiful2016SANER2016ceeohfwamad,
 accepted = {2015-12-17},
 author = {Shaiful Chowdhury and Varun Sapra and Abram Hindle},
 authors = {Shaiful Chowdhury, Varun Sapra and Abram Hindle},
 booktitle = {23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016)},
 date = {2016-03-14},
 doi = {10.1109/SANER.2016.77},
 funding = {NSERC Discovery},
 location = {Osaka, Japan},
 pagerange = {529--540},
 pages = {529--540},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7476672},
 rate = {52/140 or 37%},
 role = {Co-author / supervisor},
 title = {Client-Side Energy Efficiency of HTTP/2 for Web and Mobile App Developers},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/chowdhury2016SANER-http2.pdf},
 venue = {23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016)},
 year = {2016}
}

A contextual approach towards more accurate duplicate bug report detection and ranking

Abram Hindle, Anahita Alipour, Eleni Stroulia
Empirical Software Engineering
2016 368--410
PDF
@article{hindle2016EMSE,
 accepted = {2015-06-28},
 author = {Abram Hindle and Anahita Alipour and Eleni Stroulia},
 authors = {Abram Hindle, Anahita Alipour, Eleni Stroulia},
 code = {hindle2016EMSE},
 funding = {NSERC Discovery},
 journal = {Empirical Software Engineering},
 pagerange = {368--410},
 pages = {368--410},
 publisher = {Springer},
 role = {Primary Supervisor},
 title = {A contextual approach towards more accurate duplicate bug report detection and ranking},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2016EMSE-bugdedup.pdf},
 venue = {Empirical Software Engineering},
 volume = {21(2)},
 year = {2016}
}

On the Naturalness of Software

Abram Hindle, Earl T. Barr, Zhendong Su, Premkumar T. Devanbu, and Mark Gabel
Communications of the ACM: Invited Research Hilights (CACM)
2016 122--131
PDF
Invited re-print, not peer reviewed
@article{hindle2016CACM,
 accepted = {2015-05-18},
 author = {Abram Hindle and Earl T. Barr and Zhendong Su and Premkumar T. Devanbu and and Mark Gabel},
 authors = {Abram Hindle, Earl T. Barr, Zhendong Su, Premkumar T. Devanbu, and Mark Gabel},
 code = {hindle2016CACM},
 funding = {NSF 0964703 and NSF 0613949},
 issue = {59(5)},
 journal = {Communications of the ACM: Invited Research Hilights (CACM)},
 notes = {Invited re-print, not peer reviewed},
 pagerange = {122--131},
 pages = {122--131},
 role = { Researcher / co-author},
 title = {On the Naturalness of Software},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2016CACM.pdf},
 venue = {Communications of the ACM: Invited Research Hilights (CACM)},
 year = {2016}
}

Leaders of Tomorrow on the Future of Software Engineering: A Roundtable

Felienne Hermans, Janet Siegmund, Thomas Fritz, Gabriele Bavota, Meiyappan Nagappan, Abram Hindle, Yasutaka Kamei, Ali Mesbah, Bram Adams
IEEE Software
2016 99--104
PDF
Publisher Link
DOI:10.1109/MS.2016.55
Invited, not peer reviewed.
@article{felienne2016IEEESlototfosear,
 author = {Felienne Hermans and Janet Siegmund and Thomas Fritz and Gabriele Bavota and Meiyappan Nagappan and Abram Hindle and Yasutaka Kamei and Ali Mesbah and Bram Adams},
 authors = {Felienne Hermans, Janet Siegmund, Thomas Fritz, Gabriele Bavota, Meiyappan Nagappan, Abram Hindle, Yasutaka Kamei, Ali Mesbah, Bram Adams},
 doi = {10.1109/MS.2016.55},
 funding = {NSERC Discovery},
 journal = {IEEE Software},
 notes = {Invited, not peer reviewed.},
 pagerange = {99--104},
 pages = {99--104},
 payurl = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7420475},
 role = {Invited Opinion},
 title = {Leaders of Tomorrow on the Future of Software Engineering: A Roundtable},
 type = {article},
 url = {https://www.computer.org/csdl/mags/so/2016/02/mso2016020099.pdf},
 venue = {IEEE Software},
 volume = {33(2)},
 year = {2016}
}

The Perils of Energy Mining: Measure a Bunch, Compare just Once

Abram Hindle
Perspectives on Data Science for Software Engineering Software Data
2016 97--101
PDF
@InBook{abram2016PDSSESDtpoemmabcjo,
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {Perspectives on Data Science for Software Engineering Software Data},
 editors = {Tim Menzies, Laurie Williams, Thomas Zimmermann},
 funding = {NSERC Discovery},
 pagerange = {97--101},
 pages = {97--101},
 publisher = {Morgan Kaufmann},
 role = {Author},
 srcurl = {https://github.com/ds4se/chapters/blob/master/abramhindle/energymining.md},
 title = {The Perils of Energy Mining: Measure a Bunch, Compare just Once},
 type = {InBook},
 url = {http://softwareprocess.ca/pubs/hindle2016D4SE-energymining.pdf},
 venue = {Perspectives on Data Science for Software Engineering Software Data},
 year = {2016}
}

Detecting duplicate bug reports with software engineering domain knowledge

Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russ Greiner, Eleni Stroulia
22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015) Montreal, Canada
2015 211--220
Acceptance:46/144 or 32%
PDF
Publisher Link
@inproceedings{karan2015SANER2015ddbrwsedk,
 author = {Karan Aggarwal and Tanner Rutgers and Finbarr Timbers and Abram Hindle and Russ Greiner and Eleni Stroulia},
 authors = {Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russ Greiner, Eleni Stroulia},
 booktitle = {22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering  (SANER 2015)},
 date = {2016-03-02},
 funding = {NSERC Discovery},
 location = {Montreal, Canada},
 pagerange = {211--220},
 pages = {211--220},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7081831},
 rate = {46/144 or 32% },
 region = {Quebec},
 role = { Co-author / supervisor.},
 title = {Detecting duplicate bug reports with software engineering domain knowledge},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/aggarwal2015SANER-dedup.pdf},
 venue = {22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering  (SANER 2015)},
 year = {2015}
}

A system-call based model of software energy consumption without hardware instrumentation

Shaiful Alam Chowdhury, Luke N. Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal, Abram Hindle, Russell Greiner.
Sixth International Green and Sustainable Computing Conference (IGSC 2015) Las Vegas, United States
2015 1--6
Acceptance:24/67 or 36%
PDF
Publisher Link
DOI:10.1109/IGCC.2015.7393719
@inproceedings{shaiful2015IGSC2015asbmosecwhi,
 accepted = {2015-08-06},
 author = {Shaiful Alam Chowdhury and Luke N. Kumar and Md. Toukir Imam and Mohomed Shazan Mohomed Jabbar and Varun Sapra and Karan Aggarwal and Abram Hindle and Russell Greiner.},
 authors = {Shaiful Alam Chowdhury, Luke N. Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal, Abram Hindle, Russell Greiner.},
 booktitle = {Sixth International Green and Sustainable Computing Conference (IGSC 2015)},
 date = {2015-12-14},
 doi = {10.1109/IGCC.2015.7393719},
 funding = {NSERC Discovery},
 location = {Las Vegas, United States},
 pagerange = {1--6},
 pages = {1--6},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7393719},
 rate = {24/67 or 36% },
 region = {Nevada},
 role = {Co-author / supervisor},
 title = {A system-call based model of software energy consumption without hardware instrumentation},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/chowdhury2015IGSC-systemcall.pdf},
 venue = {Sixth International Green and Sustainable Computing Conference (IGSC 2015)},
 year = {2015}
}

Hadoop branching: Architectural impacts on energy and performance

Ivanilton Polato, Denilson Barbosa, Abram Hindle, Fabio Kon
Sixth International Green and Sustainable Computing Conference WIP track (IGSC 2015) Las Vegas, United States
2015 406--411
Acceptance:33/67 or 59%
PDF
Publisher Link
@inproceedings{ivanilton2015IGSC2015hbaioeap,
 accepted = {2015-08-06},
 author = {Ivanilton Polato and Denilson Barbosa and Abram Hindle and Fabio Kon},
 authors = {Ivanilton Polato, Denilson Barbosa, Abram Hindle, Fabio Kon},
 booktitle = {Sixth International Green and Sustainable Computing Conference WIP track (IGSC 2015)},
 date = {2015-12-14},
 funding = {NSERC Discovery},
 location = {Las Vegas, United States},
 pagerange = {406--411},
 pages = {406--411},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7393709},
 rate = {33/67 or 59% },
 region = {Nevada},
 role = { Co-author},
 title = {Hadoop branching: Architectural impacts on energy and performance},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/polato2015IGSC-greenmapreduce-4pages.pdf},
 venue = {Sixth International Green and Sustainable Computing Conference WIP track (IGSC 2015)},
 year = {2015}
}

Crowdsourced bug triaging

Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia
International Conference on Software Maintenance and Evolution ERA-Track (ICSME-ERA 2015) Bremen, Germany
2015 506--510
Acceptance:40/210 or 19%
PDF
Publisher Link
@inproceedings{ali2015ICSMEERA2015cbt,
 accepted = {2015-07-24},
 author = {Ali Sajedi Badashian and Abram Hindle and Eleni Stroulia},
 authors = {Ali Sajedi Badashian, Abram Hindle, Eleni Stroulia},
 booktitle = {International Conference on Software Maintenance and Evolution ERA-Track (ICSME-ERA 2015)},
 date = {2015-09-29},
 funding = {NSERC Discovery},
 location = {Bremen, Germany},
 pagerange = {506--510},
 pages = {506--510},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7332503},
 rate = {40/210 or 19%},
 role = { Co-author},
 title = {Crowdsourced bug triaging},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/sajedi2015ICSME-ERA-crowd-sourced-bug-triage.pdf},
 venue = {International Conference on Software Maintenance and Evolution ERA-Track (ICSME-ERA 2015)},
 year = {2015}
}

GreenAdvisor: A Tool for Analyzing the Impact of Software Evolution on Energy Consumption

Karan Aggarwal, Abram Hindle and Eleni Stroulia.
International Conference on Software Maintenance and Evolution (ICSME 2015) Bremen, Germany
2015 311--320
Acceptance:32/148 or 22%
PDF
Publisher Link
@inproceedings{karan2015ICSME2015gatfatioseoec,
 author = {Karan Aggarwal and Abram Hindle and Eleni Stroulia.},
 authors = {Karan Aggarwal, Abram Hindle and Eleni Stroulia.},
 booktitle = {International Conference on Software Maintenance and Evolution (ICSME 2015)},
 date = {2015-09-29},
 funding = {NSERC Discovery},
 location = {Bremen, Germany},
 pagerange = {311--320},
 pages = {311--320},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7332477},
 rate = {32/148 or 22% },
 role = { Co-author / supervisor.},
 title = {GreenAdvisor: A Tool for Analyzing the Impact of Software Evolution on Energy Consumption},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/aggarwal2015ICSME-greenadvisor.pdf},
 venue = {International Conference on Software Maintenance and Evolution (ICSME 2015)},
 year = {2015}
}

Orchestrating Your Cloud Orchestra

Abram Hindle
New Interfaces for Musical Expression (NIME 2015) Baton Rogue, United States
2015 1--4
Acceptance:12%
PDF
@inproceedings{abram2015NIME2015oyco,
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {New Interfaces for Musical Expression (NIME 2015)},
 date = {2015-05-31},
 funding = {NSERC Discovery},
 location = {Baton Rogue, United States},
 pagerange = {1--4},
 pages = {1--4},
 rate = {12%},
 region = {Louisiana},
 role = {Author},
 title = {Orchestrating Your Cloud Orchestra},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2015NIME-orchestrating.pdf},
 venue = {New Interfaces for Musical Expression (NIME 2015)},
 year = {2015}
}

An Empirical Study of End-user Programmers in the Computer Music Community

Gregory Burlet, Abram Hindle
Working Conference on Mining Software Repositories (MSR 2015) Florence, Italy
2015 292--302
Acceptance:32/106 or 30%
PDF
Publisher Link
@inproceedings{gregory2015MSR2015aesoepitcmc,
 author = {Gregory Burlet and Abram Hindle},
 authors = {Gregory Burlet, Abram Hindle},
 booktitle = {Working Conference on Mining Software Repositories (MSR 2015)},
 date = {2015-05-16},
 funding = {NSERC Discovery},
 location = {Florence, Italy},
 pagerange = {292--302},
 pages = {292--302},
 payurl = {https://dl.acm.org/citation.cfm?id=2820554&dl=ACM&coll=DL&CFID=798146404&CFTOKEN=89376601},
 rate = {32/106 or 30% },
 role = { Co-author / supervisor},
 title = {An Empirical Study of End-user Programmers in the Computer Music Community},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/burlet2015MSR-music-coders.pdf},
 venue = {Working Conference on Mining Software Repositories (MSR 2015)},
 year = {2015}
}

Mining StackOverflow to Filter out Off-topic IRC Discussion

Shaiful Alam Chowdhury and Abram Hindle
International Working Conference on Mining Software Repositories Challenge Track (MSR 2015) Florence, Italy
2015 422--425
Acceptance:14/21 or 66%
PDF
Publisher Link
Mining challenge award
@inproceedings{shaiful2015MSR2015mstfooid,
 author = {Shaiful Alam Chowdhury and Abram Hindle},
 authors = {Shaiful Alam Chowdhury and Abram Hindle},
 booktitle = {International Working Conference on Mining Software Repositories Challenge Track (MSR 2015)},
 date = {2015-05-16},
 funding = {NSERC Discovery},
 location = {Florence, Italy},
 notes = {Mining challenge award},
 pagerange = {422--425},
 pages = {422--425},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7180108},
 publisher = {IEEE},
 rate = {14/21 or 66%},
 role = {Co-author / supervisor},
 title = {Mining StackOverflow to Filter out Off-topic IRC Discussion},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/chowdhury2015MSR-IRC.pdf},
 venue = {International Working Conference on Mining Software Repositories Challenge Track (MSR 2015)},
 year = {2015}
}

What do programmers know about the energy consumption of software?

Candy Pang, Abram Hindle, Bram Adams, Ahmed E. Hassan
IEEE Software
2015 83--89
PDF
Publisher Link
@article{candy2015IEEESwdpkatecos,
 author = {Candy Pang and Abram Hindle and Bram Adams and Ahmed E. Hassan},
 authors = {Candy Pang, Abram Hindle, Bram Adams, Ahmed E. Hassan},
 funding = {NSERC Discovery},
 journal = {IEEE Software},
 pagerange = {83--89},
 pages = {83--89},
 payurl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7155416},
 role = {Co-author / supervisor},
 title = {What do programmers know about the energy consumption of software?},
 type = {article},
 url = {http://softwareprocess.ca/pubs/pang2015IEEESoftware.pdf},
 venue = {IEEE Software},
 year = {2015}
}

Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data

Joshua Charles Campbell, Abram Hindle, Eleni Stroulia
The Art and Science of Analyzing Software Data
2015 139--160
PDF
@InBook{joshua2015TASASDldaetfsed,
 author = {Joshua Charles Campbell and Abram Hindle and Eleni Stroulia},
 authors = {Joshua Charles Campbell, Abram Hindle, Eleni Stroulia},
 booktitle = {The Art and Science of Analyzing Software Data},
 editors = {Christian Bird, Tim Menzies, Thomas Zimmermann},
 funding = {NSERC Discovery},
 pagerange = {139--160},
 pages = {139--160},
 publisher = {Morgan Kaufmann},
 role = { Co-author / supervisor},
 title = {Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data},
 type = {InBook},
 url = {http://softwareprocess.ca/pubs/campbell2015AASD-LDA.pdf},
 venue = {The Art and Science of Analyzing Software Data},
 year = {2015}
}

The Impact of User Choice on Energy Consumption

Zhang Chenlei, Abram Hindle, and Daniel M. German
IEEE Software
2014 69--75
PDF
Publisher Link
@article{zhang2014IEEEStioucoec,
 author = {Zhang Chenlei and Abram Hindle and and Daniel M. German},
 authors = {Zhang Chenlei, Abram Hindle, and Daniel M. German},
 date = {2014/03},
 funding = {NSERC Discovery},
 journal = {IEEE Software},
 pagerange = {69--75},
 pages = {69--75},
 payurl = {https://www.computer.org/csdl/mags/so/2014/03/mso2014030069-abs.html},
 role = {Co-author / supervisor},
 title = {The Impact of User Choice on Energy Consumption},
 type = {article},
 url = {http://softwareprocess.ca/pubs/zhang2014IEEESoftware-user-choice.pdf},
 venue = {IEEE Software},
 year = {2014}
}

The Power of System Call Traces: Predicting the Software Energy Consumption Impact of Changes

Karan Aggarwal, Zhang Chenlei, Joshua Campbell, Abram Hindle, and Eleni Stroulia
24rd Annual Conference of the Center for Advanced Studies (CASCON 2014) Markham, Canada
2014 219--233
Acceptance:18/56 or 32.14%
PDF
@inproceedings{karan2014CASCON2014tposctptsecioc,
 author = {Karan Aggarwal and Zhang Chenlei and Joshua Campbell and Abram Hindle and and Eleni Stroulia},
 authors = {Karan Aggarwal, Zhang Chenlei, Joshua Campbell, Abram Hindle, and Eleni Stroulia},
 booktitle = {24rd Annual Conference of the Center for Advanced Studies (CASCON 2014)},
 date = {2014-11-03},
 funding = {NSERC Discovery},
 location = {Markham, Canada},
 pagerange = {219--233},
 pages = {219--233},
 rate = {18/56 or 32.14% },
 region = {Ontario},
 role = { Co-author / supervisor},
 title = {The Power of System Call Traces: Predicting the Software Energy Consumption Impact of Changes},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/aggarwal2014CASCON-syscalls.pdf},
 venue = {24rd Annual Conference of the Center for Advanced Studies (CASCON 2014)},
 year = {2014}
}

Involvement, Contribution and Influence in Github and Stack Overflow

Ali Sajedi Badashian, Afsaneh Esteki, Ameneh Gholipour, Abram Hindle, and Eleni Stroulia
24rd Annual Conference of the Center for Advanced Studies (CASCON 2014) Markham, Canada
2014 19--33
Acceptance:18/56 or 32.14%
PDF
@inproceedings{ali2014CASCON2014icaiigaso,
 author = {Ali Sajedi Badashian and Afsaneh Esteki and Ameneh Gholipour and Abram Hindle and and Eleni Stroulia},
 authors = {Ali Sajedi Badashian, Afsaneh Esteki, Ameneh Gholipour, Abram Hindle, and Eleni Stroulia},
 booktitle = {24rd Annual Conference of the Center for Advanced Studies (CASCON 2014)},
 date = {2014-11-03},
 funding = {NSERC Discovery},
 location = {Markham, Canada},
 pagerange = {19--33},
 pages = {19--33},
 rate = {18/56 or 32.14% },
 region = {Ontario},
 role = { Co-author / course project},
 title = {Involvement, Contribution and Influence in Github and Stack Overflow},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/sajedi2014CASCON-AAA.pdf},
 venue = {24rd Annual Conference of the Center for Advanced Studies (CASCON 2014)},
 year = {2014}
}

On Improving Green Mining For Energy-Aware Software Analysis

Stephen Romansky, and Abram Hindle
24rd Annual Conference of the Center for Advanced Studies (CASCON 2014) Markham, Canada
2014 234--245
Acceptance:18/56 or 32.14%
PDF
@inproceedings{stephen2014CASCON2014oigmfesa,
 author = {Stephen Romansky and and Abram Hindle},
 authors = {Stephen Romansky, and Abram Hindle},
 booktitle = {24rd Annual Conference of the Center for Advanced Studies (CASCON 2014)},
 date = {2014-11-03},
 funding = {NSERC Discovery},
 location = {Markham, Canada},
 pagerange = {234--245},
 pages = {234--245},
 rate = {18/56 or 32.14% },
 region = {Ontario},
 role = { Co-author / course project},
 title = {On Improving Green Mining For Energy-Aware Software Analysis},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/romansky2014CASCON.pdf},
 venue = {24rd Annual Conference of the Center for Advanced Studies (CASCON 2014)},
 year = {2014}
}

CloudOrch: A Portable SoundCard in the Cloud

Abram Hindle
New Interfaces for Musical Expression (NIME 2014) London, UK
2014 277--280
Acceptance:26/113 or 23.01%
PDF
Publisher Link
@inproceedings{abram2014NIME2014capsitc,
 accepted = {2014-05-08},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {New Interfaces for Musical Expression (NIME 2014)},
 date = {2014-06-31},
 funding = {NSERC Discovery},
 location = {London, UK},
 pagerange = {277--280},
 pages = {277--280},
 pagesr = {252-261},
 payurl = {http://www.nime.org/proceedings/2014/nime2014_541.pdf},
 published = {2014-05-31},
 rate = {26/113 or 23.01% },
 role = { Author},
 title = {CloudOrch: A Portable SoundCard in the Cloud},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2014NIME-cloudorch.pdf},
 venue = {New Interfaces for Musical Expression (NIME 2014)},
 volume = {11th},
 year = {2014}
}

Green mining: energy consumption of advertisement blocking methods

Kent Rasmussen, Alexandar Wilson, and Abram Hindle
Proceedings of the 3rd International Workshop on Green and Sustainable Software (GREENS 2014)
2014 38--45
PDF
@inproceedings{kent2014GREENS2014gmecoabm,
 author = {Kent Rasmussen and Alexandar Wilson and and Abram Hindle},
 authors = {Kent Rasmussen, Alexandar Wilson, and Abram Hindle},
 booktitle = {Proceedings of the 3rd International Workshop on Green and Sustainable Software (GREENS 2014)},
 date = {2014-06-01},
 funding = {NSERC Discovery},
 pagerange = {38--45},
 pages = {38--45},
 role = { Co-author / supervisor},
 title = {Green mining: energy consumption of advertisement blocking methods},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/rasmussen2014GREENS-adblock.pdf},
 venue = {Proceedings of the 3rd International Workshop on Green and Sustainable Software (GREENS 2014)},
 year = {2014}
}

Co-evolution of project documentation and popularity within github

Karan Aggarwal, Abram Hindle, and Eleni Stroulia
International Working Conference on Mining Software Repositories Challenge Track (MSR 2014) Hyderabad, India
2014 360--363
Acceptance:9/19 or 47.37%
PDF
Publisher Link
@inproceedings{karan2014MSR2014copdapwg,
 author = {Karan Aggarwal and Abram Hindle and and Eleni Stroulia},
 authors = {Karan Aggarwal, Abram Hindle, and Eleni Stroulia},
 booktitle = {International Working Conference on Mining Software Repositories Challenge Track (MSR 2014)},
 date = {2014-05-31},
 funding = {NSERC Discovery},
 location = {Hyderabad, India},
 pagerange = {360--363},
 pages = {360--363},
 payurl = {https://dl.acm.org/citation.cfm?id=2597120},
 rate = {9/19 or 47.37% },
 role = { Co-author / supervisor / course project},
 title = {Co-evolution of project documentation and popularity within github},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/aggarwal2014MSR-documentation.pdf},
 venue = {International Working Conference on Mining Software Repositories Challenge Track (MSR 2014)},
 year = {2014}
}

A green miner's dataset: mining the impact of software change on energy consumption

Zhang Chenlei and Abram Hindle
International Working Conference on Mining Software Data Track (MSR 2014) Hyderabad, India
2014 400--403
Acceptance:15/22 or 68.18%
PDF
@inproceedings{zhang2014MSR2014agmdmtioscoec,
 author = {Zhang Chenlei and Abram Hindle},
 authors = {Zhang Chenlei and Abram Hindle},
 booktitle = {International Working Conference on Mining Software Data Track (MSR 2014)},
 date = {2014-05-31},
 funding = {NSERC Discovery},
 location = {Hyderabad, India},
 pagerange = {400--403},
 pages = {400--403},
 rate = {15/22 or 68.18% },
 role = { Co-author / supervisor},
 title = {A green miner's dataset: mining the impact of software change on energy consumption},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/zhang2014MSR-green-data.pdf},
 venue = {International Working Conference on Mining Software Data Track (MSR 2014)},
 year = {2014}
}

Syntax Errors Just Aren't Natural: Improving Error Reporting with Language Models

Joshua Campbell, Abram Hindle, and J Nelson Amaral
Working Conference on Mining Software Repositories (MSR 2014) Hyderabad, India
2014 252--261
Acceptance:29/85 or 34.12%
PDF
Publisher Link
DOI:10.1145/2597073.2597102
@inproceedings{joshua2014MSR2014sejanierwlm,
 accepted = {2014-04-08},
 author = {Joshua Campbell and Abram Hindle and and J Nelson Amaral},
 authors = {Joshua Campbell, Abram Hindle, and J Nelson Amaral},
 booktitle = {Working Conference on Mining Software Repositories (MSR 2014)},
 date = {2014-05-31},
 doi = {10.1145/2597073.2597102},
 funding = {NSERC Discovery},
 location = {Hyderabad, India},
 pagerange = {252--261},
 pages = {252--261},
 payurl = { http://dl.acm.org/citation.cfm?id=2597073&CFID=342892135&CFTOKEN=59881232},
 published = {2014-05-31},
 publisher = {ACM},
 rate = {29/85 or 34.12% },
 role = { Co-author / supervisor},
 title = {Syntax Errors Just Aren't Natural: Improving Error Reporting with Language Models},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/campbell2014MSR-syntax.pdf},
 venue = {Working Conference on Mining Software Repositories (MSR 2014)},
 year = {2014}
}

GreenMiner: a hardware based mining software repositories software energy consumption framework

Abram Hindle, Alexander Wilson, Kent Rasmussen, Eric Jed Barlow, Joshua Campbell, and Stephen Romansky
International Working Conference on Mining Software Repositories (MSR 2014) Hyderabad, India
2014 12--21
Acceptance:29/89 or 32.58%
PDF
@inproceedings{abram2014MSR2014gahbmsrsecf,
 author = {Abram Hindle and Alexander Wilson and Kent Rasmussen and Eric Jed Barlow and Joshua Campbell and and Stephen Romansky},
 authors = {Abram Hindle, Alexander Wilson, Kent Rasmussen, Eric Jed Barlow, Joshua Campbell, and Stephen Romansky},
 booktitle = {International Working Conference on Mining Software Repositories (MSR 2014)},
 date = {2014-05-31},
 funding = {NSERC Discovery},
 location = {Hyderabad, India},
 pagerange = {12--21},
 pages = {12--21},
 rate = {29/89 or 32.58% },
 role = { Project Lead and Author},
 title = {GreenMiner: a hardware based mining software repositories software energy consumption framework},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2014MSR-greenminer.pdf},
 venue = {International Working Conference on Mining Software Repositories (MSR 2014)},
 year = {2014}
}

Do topics make sense to managers and developers?

Abram Hindle, Christian Bird, Thomas Zimmermann, and Nachiappan Nagappan
Journal of Empirical Software Engineering
2014 479--515
PDF
@article{abram2014JESEdtmstmad,
 author = {Abram Hindle and Christian Bird and Thomas Zimmermann and and Nachiappan Nagappan},
 authors = {Abram Hindle, Christian Bird, Thomas Zimmermann, and Nachiappan Nagappan},
 funding = {Microsoft Research},
 journal = {Journal of Empirical Software Engineering},
 pagerange = {479--515},
 pages = {479--515},
 payyurl = {http://link.springer.com/article/10.1007%2Fs10664-014-9312-1},
 publisher = {Springer},
 role = {primary author},
 title = {Do topics make sense to managers and developers?},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2014EMSE-topics.pdf},
 venue = {Journal of Empirical Software Engineering},
 year = {2014}
}

A Multidimensional Empirical Study on Refactoring

Nikolaos Tsantalis, Victor Guana, Eleni Stroulia, and Abram Hindle
23rd Annual Conference of the Center for Advanced Studies (CASCON 2013) Markham, Canada
2013 132--146
Acceptance:25/70 or 35.71%
PDF
@inproceedings{nikolaos2013CASCON2013amesor,
 author = {Nikolaos Tsantalis and Victor Guana and Eleni Stroulia and and Abram Hindle},
 authors = {Nikolaos Tsantalis, Victor Guana, Eleni Stroulia, and Abram Hindle},
 booktitle = {23rd Annual Conference of the Center for Advanced Studies (CASCON 2013)},
 date = {2013-11-18},
 funding = {NSERC Discovery},
 location = {Markham, Canada},
 pagerange = {132--146},
 pages = {132--146},
 rate = {25/70 or 35.71% },
 region = {Ontario},
 role = { Supervision and Criticism},
 title = {A Multidimensional Empirical Study on Refactoring},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/tsantalis2013CASCON-refactoring.pdf},
 venue = {23rd Annual Conference of the Center for Advanced Studies (CASCON 2013)},
 year = {2013}
}

On the Personality Traits of StackOverflow Users

Blerina Bazelli, Abram Hindle, Eleni Stroulia
International Conference on Software Maintenance (ICSM-2013 ERA Track) Eindhoven, The Netherlands
2013 460--463
Acceptance:30/70 or 42.86%
PDF
@inproceedings{blerina2013ICSM2013ERATrackotptosu,
 author = {Blerina Bazelli and Abram Hindle and Eleni Stroulia},
 authors = {Blerina Bazelli, Abram Hindle, Eleni Stroulia},
 booktitle = {International Conference on Software Maintenance (ICSM-2013 ERA Track)},
 date = {2013-09-22},
 funding = {NSERC Discovery},
 location = {Eindhoven, The Netherlands},
 pagerange = {460--463},
 pages = {460--463},
 pagesr = {460-463},
 rate = {30/70 or 42.86%},
 role = { Class project / supervisor},
 title = {On the Personality Traits of StackOverflow Users},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/bazelli2013ICSMERA-Personality.pdf},
 venue = {International Conference on Software Maintenance (ICSM-2013 ERA Track)},
 year = {2013}
}

SWARMED: Captive Portals, Mobile Devices, and Audience Participation in Multi-User Music Performance

Abram Hindle
New Interfaces for Musical Expression (NIME 2013) Daejeon and Seoul, Korea Republic
2013 174--179
PDF
@inproceedings{abram2013NIME2013scpmdaapimmp,
 accepted = {2013-04-01},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {New Interfaces for Musical Expression (NIME 2013)},
 date = {2013-05-27},
 funding = {NSERC Discovery},
 location = {Daejeon and Seoul, Korea Republic},
 pagerange = {174--179},
 pages = {174--179},
 published = {2013-05-27},
 publisher = {NIME},
 role = {Author},
 title = {SWARMED: Captive Portals, Mobile Devices, and Audience Participation in Multi-User Music Performance},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2013NIME-SWARMED.pdf},
 venue = {New Interfaces for Musical Expression (NIME 2013)},
 year = {2013}
}

A contextual approach towards more accurate duplicate bug report detection

Anahita Alipour, Abram Hindle, and Eleni Stroulia
Working Conference on Mining Software Repositories (MSR-2013) San Francisco, United States
2013 183--192
Acceptance:31/81 or 38.27%
PDF
Publisher Link
@inproceedings{anahita2013MSR2013acatmadbrd,
 accepted = {2013-03-15},
 author = {Anahita Alipour and Abram Hindle and and Eleni Stroulia},
 authors = {Anahita Alipour, Abram Hindle, and Eleni Stroulia},
 booktitle = {Working Conference on Mining Software Repositories (MSR-2013)},
 date = {2013-05-18},
 funding = {NSERC Discovery},
 location = {San Francisco, United States},
 pagerange = {183--192},
 pages = {183--192},
 payurl = {http://dl.acm.org/citation.cfm?id=2487123},
 published = {2013-05-18},
 publisher = {IEEE},
 rate = {31/81 or 38.27%},
 region = {California},
 role = { supervisor, author},
 title = {A contextual approach towards more accurate duplicate bug report detection},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/alipour2013MSR-bugdedup.pdf},
 venue = {Working Conference on Mining Software Repositories (MSR-2013)},
 year = {2013}
}

Deficient documentation detection: a methodology to locate deficient project documentation using topic analysis

Joshua Campbell, Zhang Chenlei, Zhen Xu, Abram Hindle, and James Miller
Working Conference on Mining Software Repositories Challenge Track (MSR-2013) San Francisco, United States
2013 57--60
Acceptance:12/30 or 40%
PDF
Publisher Link
@inproceedings{joshua2013MSR2013dddamtldpduta,
 accepted = {2013-03-16},
 author = {Joshua Campbell and Zhang Chenlei and Zhen Xu and Abram Hindle and and James Miller},
 authors = {Joshua Campbell, Zhang Chenlei, Zhen Xu, Abram Hindle, and James Miller},
 booktitle = {Working Conference on Mining Software Repositories Challenge Track (MSR-2013)},
 date = {2013-05-18},
 funding = {NSERC Discovery},
 location = {San Francisco, United States},
 pagerange = {57--60},
 pages = {57--60},
 payurl = {http://dl.acm.org/citation.cfm?id=2487099},
 published = {2013-05-18},
 publisher = {IEEE},
 rate = {12/30 or 40%},
 region = {California},
 role = { Course project / supervisor},
 title = {Deficient documentation detection: a methodology to locate deficient project documentation using topic analysis},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/campbell2013MSR-Deficient.pdf},
 venue = {Working Conference on Mining Software Repositories Challenge Track (MSR-2013)},
 year = {2013}
}

Green Mining: a Methodology of Relating Software Change and Configuration to Power Consumption

Abram Hindle
Journal of Empirical Software Engineering
2013 374--409
PDF
Publisher Link
DOI:http://dx.doi.org/10.1007/s10664-013-9276-6
@article{abram2013JESEgmamorscactpc,
 author = {Abram Hindle},
 authors = {Abram Hindle},
 doi = {http://dx.doi.org/10.1007/s10664-013-9276-6},
 funding = {NSERC Discovery},
 journal = {Journal of Empirical Software Engineering},
 pagerange = {374--409},
 pages = {374--409},
 payurl = {http://link.springer.com/article/10.1007/s10664-013-9276-6},
 role = {Author.},
 title = {Green Mining: a Methodology of Relating Software Change and Configuration to Power Consumption},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2013EMSE-green-mining.pdf},
 venue = {Journal of Empirical Software Engineering},
 year = {2013}
}

Roundtable: What's Next in Software Analytics

Ahmed E Hassan, Abram Hindle, Per Runeson, Martin Shepperd, Prem Devanbu, and Sunghun Kim
IEEE Software
2013 53--56
PDF
Publisher Link
Invited, not peer reviewed
@article{ahmed2013IEEESrwnisa,
 author = {Ahmed E Hassan and Abram Hindle and Per Runeson and Martin Shepperd and Prem Devanbu and and Sunghun Kim},
 authors = {Ahmed E Hassan, Abram Hindle, Per Runeson, Martin Shepperd, Prem Devanbu, and Sunghun Kim},
 journal = {IEEE Software},
 notes = {Invited, not peer reviewed},
 pagerange = {53--56},
 pages = {53--56},
 payurl = {https://www.computer.org/csdl/mags/so/2013/04/mso2013040053-abs.html},
 role = {Invited Opinion},
 title = {Roundtable: What's Next in Software Analytics},
 type = {article},
 url = {http://dx.doi.org/10.1109/MS.2013.85},
 venue = {IEEE Software},
 year = {2013}
}

Automated Topic Naming Supporting Cross-project Analysis of Software Maintenance Activities

Abram Hindle, Neil A. Ernst, Michael W. Godfrey, John Mylopoulos
Journal of Empirical Software Engineering
2013 1125--1155
PDF
Publisher Link
@article{abram2013JESEatnscaosma,
 author = {Abram Hindle and Neil A. Ernst and Michael W. Godfrey and John Mylopoulos},
 authors = {Abram Hindle, Neil A. Ernst, Michael W. Godfrey, John Mylopoulos},
 journal = {Journal of Empirical Software Engineering},
 pagerange = {1125--1155},
 pages = {1125--1155},
 payurl = {http://link.springer.com/article/10.1007/s10664-012-9209-9},
 role = { Primary author},
 title = {Automated Topic Naming Supporting Cross-project Analysis of Software Maintenance Activities},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2011EMSE-automated-topic-naming.pdf},
 venue = {Journal of Empirical Software Engineering},
 volume = {18(6)},
 year = {2013}
}

Software Bertillonage Determining the Provenance of Software Development Artifacts

Julius Davies, Daniel M. German, Michael W. Godfrey, Abram Hindle
Journal of Empirical Software Engineering
2012 1195--1237
PDF
Publisher Link
@article{julius2012JESEsbdtposda,
 author = {Julius Davies and Daniel M. German and  Michael W. Godfrey and Abram Hindle},
 authors = {Julius Davies, Daniel M. German,  Michael W. Godfrey, Abram Hindle},
 date = {2012/05},
 journal = {Journal of Empirical Software Engineering},
 pagerange = {1195--1237},
 pages = {1195--1237},
 payurl = {http://link.springer.com/article/10.1007/s10664-012-9199-7},
 role = {Supporting author, writing, case study},
 title = {Software Bertillonage Determining the Provenance of Software Development Artifacts},
 type = {article},
 url = {http://softwareprocess.ca/pubs/davies2012ESME-Bertillonage.pdf},
 venue = {Journal of Empirical Software Engineering},
 year = {2012}
}

Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs

Dan Han, Zhang Chenlei, Xiachao Fan, Abram Hindle, Kenny Wong, and Eleni Stroulia
Working Conference on Reverse Engineering (WCRE-2012) Kingston, Canada
2012 83--92
Acceptance:43/138 or 31.16%
PDF
Publisher Link
@inproceedings{dan2012WCRE2012uafwtaovb,
 accepted = {2012-08-14},
 author = {Dan Han and Zhang Chenlei and Xiachao Fan and Abram Hindle and Kenny Wong and and Eleni Stroulia},
 authors = {Dan Han, Zhang Chenlei, Xiachao Fan, Abram Hindle, Kenny Wong, and Eleni Stroulia},
 booktitle = {Working Conference on Reverse Engineering (WCRE-2012)},
 date = {2012-10-15},
 funding = {NSERC Discovery},
 location = {Kingston, Canada},
 pagerange = {83--92},
 pages = {83--92},
 payurl = {http://doi.ieeecomputersociety.org/10.1109/WCRE.2012.18},
 published = {2012-10-15},
 publisher = {IEEE},
 rate = {43/138 or 31.16%},
 region = {Ontario},
 role = { Course project / supervisor},
 title = {Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/han2012WCRE-Android-Fragmentation.pdf},
 venue = {Working Conference on Reverse Engineering (WCRE-2012)},
 year = {2012}
}

Relating Requirements to Implementation via Topic Analysis: Do Topics Extracted from Requirements Make Sense to Managers and Developers?

Abram Hindle, Christian Bird, Thomas Zimmermann, and Nachiappan Nagappan
International Conference on Software Maintenance (ICSM 2012) Riva Del Garda, Italy
2012 243--252
Acceptance:46/181 or 25.41%
PDF
@inproceedings{abram2012ICSM2012rrtivtadtefrmstmad,
 accepted = {2012-06-20},
 author = {Abram Hindle and Christian Bird and Thomas Zimmermann and and Nachiappan Nagappan},
 authors = {Abram Hindle, Christian Bird, Thomas Zimmermann, and Nachiappan Nagappan},
 booktitle = {International Conference on Software Maintenance (ICSM 2012)},
 date = {2012-09-23},
 funding = {Microsoft Research},
 location = {Riva Del Garda, Italy},
 pagerange = {243--252},
 pages = {243--252},
 publisher = {IEEE},
 rate = {46/181 or 25.41%},
 role = { Primary Investigator},
 title = {Relating Requirements to Implementation via Topic Analysis: Do Topics Extracted from Requirements Make Sense to Managers and Developers?},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2012ICSM-Relating-Requirements-Topics.pdf},
 venue = {International Conference on Software Maintenance (ICSM 2012)},
 year = {2012}
}

On the Naturalness of Software

Abram Hindle, Earl T. Barr, Zhendong Su, Premkumar T. Devanbu, and Mark Gabel
International Conference on Software Engineering (ICSE-2012) Zurich, Switzerland
2012 837--847
Acceptance:87/408 or 21.32%
PDF
@inproceedings{hindle12012ICSE,
 accepted = {2012-01-27},
 author = {Abram Hindle and Earl T. Barr and Zhendong Su and Premkumar T. Devanbu and and Mark Gabel},
 authors = {Abram Hindle, Earl T. Barr, Zhendong Su, Premkumar T. Devanbu, and Mark Gabel},
 booktitle = {International Conference on Software Engineering (ICSE-2012)},
 code = {hindle12012ICSE},
 date = {2012-06-02},
 funding = {NSF 0964703 and NSF 0613949},
 location = {Zurich, Switzerland},
 pagerange = {837--847},
 pages = {837--847},
 published = {2012-06-02},
 publisher = {IEEE},
 rate = {87/408 or 21.32%},
 role = { Researcher / author},
 title = {On the Naturalness of Software},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2012ICSE.pdf},
 venue = {International Conference on Software Engineering (ICSE-2012)},
 year = {2012}
}

Green Mining: A Methodology of Relating Software Change to Power Consumption

Abram Hindle
Working Conference on Mining Software Repositories (MSR-2012) Zurich, Switzerland
2012 78--87
Acceptance:18/64 or 28.13%
PDF
MSR Distinguished/Best Paper Award
@inproceedings{abram2012MSR2012gmamorsctpc,
 accepted = {2012-03-16},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {Working Conference on Mining Software Repositories (MSR-2012)},
 date = {2012-06-02},
 funding = {NSERC Discovery},
 location = {Zurich, Switzerland},
 notes = {MSR Distinguished/Best Paper Award},
 oldurl = {http://softwareprocess.es/a/green-change-web.pdf},
 pagerange = {78--87},
 pages = {78--87},
 published = {2012-06-02},
 rate = {18/64 or 28.13%},
 role = { Author},
 title = {Green Mining: A Methodology of Relating Software Change to Power Consumption},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2012MSR-Green-Mining.pdf},
 venue = {Working Conference on Mining Software Repositories (MSR-2012)},
 year = {2012}
}

Green Mining: Investigating Power Consumption across Versions

Abram Hindle
International Conference on Software Engineering - NIER Track. (ICSE-NIER 2012) Zurich, Switzerland
2012 1301--1304
Acceptance:26/147 or 17.69%
PDF
@inproceedings{abram2012ICSENIER2012gmipcav,
 accepted = {2012-01-27},
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {International Conference on Software Engineering - NIER Track. (ICSE-NIER 2012)},
 date = {2012-06-02},
 funding = {NSERC Discovery},
 location = {Zurich, Switzerland},
 oldurl = {http://softwareprocess.es/a/green-nier-web.pdf},
 pagerange = {1301--1304},
 pages = {1301--1304},
 published = {2012-06-02},
 rate = {26/147 or 17.69%},
 role = { Author},
 title = {Green Mining: Investigating Power Consumption across Versions},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2012ICSENEIR-Green-Mining.pdf},
 venue = {International Conference on Software Engineering - NIER Track. (ICSE-NIER 2012)},
 year = {2012}
}

Do the stars align? Multidimensional analysis of Android's Layered Architecture

Victor Guana, Fabio De Pinho Rocha, Abram Hindle, and Eleni Stroulia
Working Conference on Mining Software Repositories: Challenge Track (MSR-2012) Zurich, Switzerland
2012 124--127
Acceptance:6/17 or 35.29%
PDF
Publisher Link
DOI:10.1109/MSR.2012.6224269
Mining Challenge Award
@inproceedings{victor2012MSR2012dtsamaoala,
 accepted = {2012-03-12},
 author = {Victor Guana and Fabio De Pinho Rocha and Abram Hindle and and Eleni Stroulia},
 authors = {Victor Guana, Fabio De Pinho Rocha, Abram Hindle, and Eleni Stroulia},
 booktitle = {Working Conference on Mining Software Repositories: Challenge Track (MSR-2012)},
 date = {2012-06-02},
 doi = {10.1109/MSR.2012.6224269},
 funding = {NSERC Discovery},
 location = {Zurich, Switzerland},
 notes = {Mining Challenge Award},
 pagerange = {124--127},
 pages = {124--127},
 payurl = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6224269&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F6220358%2F6224266%2F06224269.pdf%3Farnumber%3D6224269},
 published = {2012-06-02},
 publisher = {IEEE},
 rate = {6/17 or 35.29%},
 role = {Course project supervisor / author},
 title = {Do the stars align? Multidimensional analysis of Android's Layered Architecture},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/guana2012MSR-Stars.pdf},
 venue = {Working Conference on Mining Software Repositories: Challenge Track (MSR-2012)},
 year = {2012}
}

The Build Dependency Perspective of Android's Concrete Architecture

Wei Hu, Dan Han, Abram Hindle, and Kenny Wong
Working Conference on Mining Software Repositories Challenge Track (MSR 2012) Zurich, Switzerland
2012 128--131
Acceptance:6/17 or 35.29%
PDF
DOI:10.1109/MSR.2012.6224270
@inproceedings{wei2012MSR2012tbdpoaca,
 author = {Wei Hu and Dan Han and Abram Hindle and and Kenny Wong},
 authors = {Wei Hu, Dan Han, Abram Hindle, and Kenny Wong},
 booktitle = {Working Conference on Mining Software Repositories Challenge Track (MSR 2012)},
 date = {2012-06-02},
 doi = {10.1109/MSR.2012.6224270},
 funding = {NSERC Discovery},
 location = {Zurich, Switzerland},
 pagerange = {128--131},
 pages = {128--131},
 publisher = {IEEE Computer Society},
 rate = {6/17 or 35.29%},
 role = {course project supervisor / author},
 title = {The Build Dependency Perspective of Android's Concrete Architecture},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hu2012MSR-builddeps.pdf},
 venue = {Working Conference on Mining Software Repositories Challenge Track (MSR 2012)},
 year = {2012}
}

Cohesive and Isolated Development with Branches

Earl T. Barr, Christian Bird, Peter C. Rigby, Abram Hindle, Daniel M. German, and Premkumar T. Devanbu
Fundamental Approaches to Software Engineering (FASE 2012) Tallinn, Estonia
2012 316--331
Acceptance:33/134 or 24.63%
PDF
@inproceedings{earl2012FASE2012caidwb,
 author = {Earl T. Barr and Christian Bird and Peter C. Rigby and Abram Hindle and Daniel M.  German and and Premkumar T. Devanbu},
 authors = {Earl T. Barr, Christian Bird, Peter C. Rigby, Abram Hindle, Daniel M.  German, and Premkumar T. Devanbu},
 booktitle = {Fundamental Approaches to Software Engineering (FASE 2012)},
 date = {2012-03-24},
 location = {Tallinn, Estonia},
 pagerange = {316--331},
 pages = {316--331},
 rate = {33/134 or 24.63% },
 role = {Editing and some experiments},
 title = {Cohesive and Isolated Development with Branches},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/barr2012cid.pdf},
 venue = {Fundamental Approaches to Software Engineering (FASE 2012)},
 year = {2012}
}

Got Issues? Do New Features and Code Improvements Affect Defects?

Daryl Posnett, Abram Hindle, Premkumar Devanbu
Proc. of 2011 Working Conference on Reverse Engineering (WCRE-11) Limerick, Ireland
2011 211--215
Acceptance:22+27/104 or 48%
PDF
@inproceedings{daryl2011WCRE11gidnfaciad,
 author = {Daryl Posnett and Abram Hindle and Premkumar Devanbu},
 authors = {Daryl Posnett, Abram Hindle, Premkumar Devanbu},
 booktitle = {Proc. of 2011 Working Conference on Reverse Engineering (WCRE-11)},
 date = {2011-10-17},
 location = {Limerick, Ireland},
 pagerange = {211--215},
 pages = {211--215},
 rate = {22+27/104 or 48%},
 role = { Co-author},
 title = {Got Issues? Do New Features and Code Improvements Affect Defects?},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/posnett2011WCRE-Got-Issues.pdf},
 venue = {Proc. of 2011 Working Conference on Reverse Engineering (WCRE-11)},
 year = {2011}
}

On the Effectiveness of Simhashing in Clone Detection on Large Scale Software System

Sharif Uddin, Chanchal K. Roy, Kevin A. Schneider and Abram Hindle
Proc. of 2011 Working Conference on Reverse Engineering (WCRE-11) Limerick, Ireland
2011 13-22
Acceptance:22/104 or 21%
PDF
@inproceedings{sharif2011WCRE11oteosicdolsss,
 author = {Sharif Uddin and Chanchal K. Roy and Kevin A. Schneider and Abram Hindle},
 authors = {Sharif Uddin, Chanchal K. Roy, Kevin A. Schneider and Abram Hindle},
 booktitle = {Proc. of 2011 Working Conference on Reverse Engineering (WCRE-11)},
 date = {2011-10-17},
 location = {Limerick, Ireland},
 pagerange = {13-22},
 pages = {13-22},
 rate = {22/104 or 21%},
 role = {Initial idea, editing},
 title = {On the Effectiveness of Simhashing in Clone Detection on Large Scale Software System},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/uddin2011WCRE-simhash.pdf},
 venue = {Proc. of 2011 Working Conference on Reverse Engineering (WCRE-11)},
 year = {2011}
}

BugCache for Inspections : Hit or Miss?

Foyzur Rahman, Daryl Posnett, Abram Hindle, Earl Barr, Premkumar Devanbu
Proceedings of FSE 2011 (FSE-11) Szeged, Hungary
2011 322--331
Acceptance:34/203 or 16.7%
PDF
@inproceedings{foyzur2011FSE11bfi:hom,
 author = {Foyzur Rahman and Daryl Posnett and Abram Hindle and Earl Barr and Premkumar Devanbu},
 authors = {Foyzur Rahman, Daryl Posnett, Abram Hindle, Earl Barr, Premkumar Devanbu},
 booktitle = {Proceedings of FSE 2011 (FSE-11)},
 date = {2011-09-05},
 location = {Szeged, Hungary},
 pagerange = {322--331},
 pages = {322--331},
 rate = {34/203 or 16.7% },
 role = {Co-author, editting, some programming.},
 title = {BugCache for Inspections : Hit or Miss?},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/rahman2011FSE-bugcache.pdf},
 venue = {Proceedings of FSE 2011 (FSE-11)},
 year = {2011}
}

Determining the provenance of software artifacts

Michael Godfrey, Julius Davis, Daniel German and Abram Hindle
Fifth International Workshop on Software Clones Waikiki, United States
2011 65--66
PDF
@inproceedings{michael2011FIWSCdtposa,
 author = {Michael Godfrey and Julius Davis and Daniel German and Abram Hindle},
 authors = {Michael Godfrey, Julius Davis, Daniel German and Abram Hindle},
 booktitle = {Fifth International Workshop on Software Clones},
 date = {2011-05-23},
 location = {Waikiki, United States},
 pagerange = {65--66},
 pages = {65--66},
 region = {Hawaii},
 role = {Co-author, Editing},
 title = {Determining the provenance of software artifacts},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/godfrey2011IWSC-provenance.pdf},
 venue = {Fifth International Workshop on Software Clones},
 year = {2011}
}

Automated topic naming to support cross-project analysis of software maintenance activities

Abram Hindle, Neil Ernst, Michael M. Godfrey, John Mylopoulos
Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11) Waikiki, United States
2011 163--172
Acceptance:20/61 or 33%
PDF
@inproceedings{abram2011MSR11atntscaosma,
 author = {Abram Hindle and Neil Ernst and Michael M. Godfrey and John Mylopoulos},
 authors = {Abram Hindle, Neil Ernst, Michael M. Godfrey, John Mylopoulos},
 booktitle = {Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11)},
 date = {2011-05-21},
 location = {Waikiki, United States},
 pagerange = {163--172},
 pages = {163--172},
 rate = {20/61 or 33% },
 region = {Hawaii},
 role = { Co-author},
 title = {Automated topic naming to support cross-project analysis of software maintenance activities},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2011MSR-topicnaming.pdf},
 venue = {Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11)},
 year = {2011}
}

Software Bertillonage: Finding the provenance of an entity

Julius Davies, Michael Godfrey and Daniel German, Abram Hindle
Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11) Waikiki, United States
2011 183--192
Acceptance:20/61 or 33%
PDF
@inproceedings{julius2011MSR11sbftpoae,
 author = {Julius Davies and Michael Godfrey and Daniel German and Abram Hindle},
 authors = {Julius Davies, Michael Godfrey and Daniel German, Abram Hindle},
 booktitle = {Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11)},
 date = {2011-05-21},
 location = {Waikiki, United States},
 pagerange = {183--192},
 pages = {183--192},
 rate = {20/61 or 33% },
 region = {Hawaii},
 role = {Editing, co-author},
 title = {Software Bertillonage: Finding the provenance of an entity},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/davies2011MSR-bertillonage.pdf},
 venue = {Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11)},
 year = {2011}
}

A Simpler Model of Software Readability

Daryl Posnett, Abram Hindle and Premkumar Devanbu
Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11) Waikiki, United States
2011 73--82
Acceptance:20/61 or 33%
PDF
@inproceedings{daryl2011MSR11asmosr,
 author = {Daryl Posnett and Abram Hindle and Premkumar Devanbu},
 authors = {Daryl Posnett, Abram Hindle and Premkumar Devanbu},
 booktitle = {Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11)},
 date = {2011-05-21},
 location = {Waikiki, United States},
 pagerange = {73--82},
 pages = {73--82},
 rate = {20/61 or 33%},
 region = {Hawaii},
 role = { Co-author},
 title = {A Simpler Model of Software Readability},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/posnett2011MSR-readability.pdf},
 venue = {Proc. of 2011 Working Conference on Mining Software Repositories (MSR-11)},
 year = {2011}
}

Multifractal Aspects of Software Development

Abram Hindle, Michael M. Godfrey, Richard C. Holt
33rd International Conference on Software Engineering ICSE Companion, ICSE-11 special track on New Ideas and Emerging Results (NIER) Waikiki, United States
2011 968--971
Acceptance:46/196 or 23%
PDF
@inproceedings{abram2011NIERmaosd,
 author = {Abram Hindle and Michael M. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael M. Godfrey, Richard C. Holt},
 booktitle = {33rd International Conference on Software Engineering ICSE Companion, ICSE-11 special track on New Ideas and Emerging Results (NIER)},
 date = {2011-05-21},
 funding = {NSERC PGS-D},
 location = {Waikiki, United States},
 pagerange = {968--971},
 pages = {968--971},
 rate = {46/196 or 23%},
 region = {Hawaii},
 role = { Co-author},
 title = {Multifractal Aspects of Software Development},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2011ICSENIER-Multifractal.pdf},
 venue = {33rd International Conference on Software Engineering ICSE Companion, ICSE-11 special track on New Ideas and Emerging Results (NIER)},
 year = {2011}
}

Software Process Recovery: Recovering Process From Artifacts

Abram Hindle
Doctoral Symposium of the 17th Working Conference on Reverse Engineering 2010 (WCRE-10) Boston, United States
2010 305--308
PDF
@inproceedings{abram2010WCRE10sprrpfa,
 author = {Abram Hindle},
 authors = {Abram Hindle},
 booktitle = {Doctoral Symposium of the 17th Working Conference on Reverse Engineering 2010 (WCRE-10)},
 date = {2010-10-13},
 funding = {NSERC PGS-D},
 location = {Boston, United States},
 pagerange = {305--308},
 pages = {305--308},
 region = {Massachusetts},
 role = {Author},
 title = {Software Process Recovery: Recovering Process From Artifacts},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2010WCRE-SoftwareProcessRecovery.pdf},
 venue = {Doctoral Symposium of the 17th Working Conference on Reverse Engineering 2010 (WCRE-10)},
 year = {2010}
}

Software Process Recovery using Recovered Unified Process Views

Abram Hindle, Michael M. Godfrey, Richard C. Holt
Proc. of 2010 International Conference on Software Maintenance (ICSM-10) Timisoara, Romania
2010 1--10
Acceptance:of 36/133 or 26%
PDF
@inproceedings{abram2010ICSM10sprurupv,
 author = {Abram Hindle and Michael M. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael M. Godfrey, Richard C. Holt},
 booktitle = {Proc. of 2010 International Conference on Software Maintenance (ICSM-10)},
 date = {2010-09-12},
 location = {Timisoara, Romania},
 pagerange = {1--10},
 pages = {1--10},
 rate = {of 36/133 or 26% },
 role = { Co-author},
 title = {Software Process Recovery using Recovered Unified Process Views},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2010ICSME-rupv.pdf},
 venue = {Proc. of 2010 International Conference on Software Maintenance (ICSM-10)},
 year = {2010}
}

Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu

Abram Hindle, Israel Herraiz, Emad Shihab, and Zhen Ming Jiang
Proc. of 2010 Working Conference on Mining Software Repositories (MSR-10) Cape Town, South Africa
2010 82--85
PDF
Un-refereed, as I was the challenge chair
@inproceedings{abram2010MSR10mc2fgdad,
 author = {Abram Hindle and Israel Herraiz and Emad Shihab and and Zhen Ming Jiang},
 authors = {Abram Hindle, Israel Herraiz, Emad Shihab, and Zhen Ming Jiang},
 booktitle = {Proc. of 2010 Working Conference on Mining Software Repositories (MSR-10)},
 date = {2010-05-02},
 dateconf = {2010-05-02},
 funding = {NSERC PGS-D},
 location = {Cape Town, South Africa},
 notes = {Un-refereed, as I was the challenge chair},
 pagerange = {82--85},
 pages = {82--85},
 refereed = {No},
 role = {Challenge Track Chair},
 title = {Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2010MSR-Challenge-Description.pdf},
 venue = {Proc. of 2010 Working Conference on Mining Software Repositories (MSR-10)},
 year = {2010}
}

What's Hot and What's Not: Windowing Developer Topic Analysis

Abram Hindle, Michael W. Godfrey, Richard C. Holt
Proc. of 2009 IEEE Conference on Software Maintenance (ICSM-09) Edmonton, Canada
2009 339--348
Acceptance:35/162 or 22%
PDF
@inproceedings{abram2009ICSM09whawnwdta,
 author = {Abram Hindle and Michael W. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, Richard C. Holt},
 booktitle = {Proc. of 2009 IEEE Conference on Software Maintenance (ICSM-09)},
 date = {2009-09-20},
 dateconf = {2009-09-20},
 funding = {NSERC PGS-D},
 location = {Edmonton, Canada},
 mydate = {20--26 September 2009},
 pagerange = {339--348},
 pages = {339--348},
 rate = {35/162 or 22%},
 region = {Alberta},
 role = { Co-author},
 title = {What's Hot and What's Not: Windowing Developer Topic Analysis},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2009ICSM-whats-hot.pdf},
 venue = {Proc. of 2009 IEEE Conference on Software Maintenance (ICSM-09)},
 year = {2009}
}

Automatic Classification of Large Changes into Maintenance Categories

Abram Hindle, Daniel M. German, Michael W. Godfrey, and Richard C. Holt
Proc. of 2009 IEEE Intl. Conference on Program Comprehension (ICPC-09) Vancouver, Canada
2009 30--39
Acceptance:20/74 or 27%
PDF
@inproceedings{abram2009ICPC09acolcimc,
 author = {Abram Hindle and Daniel M. German and Michael W. Godfrey and and Richard C. Holt},
 authors = {Abram Hindle, Daniel M. German, Michael W. Godfrey, and Richard C. Holt},
 booktitle = {Proc. of 2009 IEEE Intl. Conference on Program Comprehension (ICPC-09)},
 date = {2009-05-19},
 dateconf = {2009-05-19},
 funding = {NSERC PGS-D},
 location = {Vancouver, Canada},
 pagerange = {30--39},
 pages = {30--39},
 rate = {20/74 or 27%},
 region = {British Columbia},
 role = { Co-author},
 title = {Automatic Classification of Large Changes into Maintenance Categories},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindleICPC2009-large-changes-classification.pdf},
 venue = {Proc. of 2009 IEEE Intl. Conference on Program Comprehension (ICPC-09)},
 year = {2009}
}

Mining Recurrent Activities: Fourier Analysis of Change Events

Abram Hindle, Michael W. Godfrey, Richard C. Holt
31st International Conference on Software Engineering ICSE Companion, ICSE-09 special track on New Ideas and Emerging Results (NIER) Vancouver, Canada
2009 295--298
Acceptance:21/118 or 15%
PDF
@inproceedings{abram2009NIERmrafaoce,
 author = {Abram Hindle and Michael W. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, Richard C. Holt},
 booktitle = {31st International Conference on Software Engineering ICSE Companion, ICSE-09 special track on New Ideas and Emerging Results (NIER)},
 date = {2009-05-16},
 funding = {NSERC PGS-D},
 location = {Vancouver, Canada},
 pagerange = {295--298},
 pages = {295--298},
 rate = {21/118 or 15%},
 region = {British Columbia},
 role = { Co-author},
 title = {Mining Recurrent Activities: Fourier Analysis of Change Events},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2009ICSENIER-fourier-analysis.pdf},
 venue = {31st International Conference on Software Engineering ICSE Companion, ICSE-09 special track on New Ideas and Emerging Results (NIER)},
 year = {2009}
}

Reading beside the lines: Using indentation to rank revisions by complexity

Abram Hindle, Michael W. Godfrey, Richard C. Holt
Science of Computer Programming
2009 414--429
PDF
Publisher Link
@article{abram2009SCPrbtluitrrbc,
 author = {Abram Hindle and Michael W. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, Richard C. Holt},
 funding = {NSERC PGS-D},
 journal = {Science of Computer Programming},
 pagerange = {414--429},
 pages = {414--429},
 payurl = {http://www.sciencedirect.com/science/article/pii/S0167642309000379},
 role = { Primary author},
 title = {Reading beside the lines: Using indentation to rank revisions by complexity},
 type = {article},
 url = {http://softwareprocess.ca/pubs/hindle2009SCP-Reading-beside-the-lines.pdf},
 venue = {Science of Computer Programming},
 volume = {74(7)},
 year = {2009}
}

Reverse Engineering CAPTCHAs

Abram Hindle, Michael W. Godfrey, and Richard C. Holt
Proc. of the 2008 Working Conference on Reverse Engineering (WCRE-08) Antwerp, Belgium
2008 59--68
Acceptance:20/70 or 29%
PDF
@inproceedings{abram2008WCRE08rec,
 author = {Abram Hindle and Michael W. Godfrey and and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, and Richard C. Holt},
 booktitle = {Proc. of the 2008 Working Conference on Reverse Engineering (WCRE-08)},
 date = {2008-10-15},
 funding = {NSERC PGS-D},
 location = {Antwerp, Belgium},
 pagerange = {59--68},
 pages = {59--68},
 rate = {20/70 or 29%},
 role = { Co-author},
 title = {Reverse Engineering CAPTCHAs},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2008WCRE-captcha.pdf},
 venue = {Proc. of the 2008 Working Conference on Reverse Engineering (WCRE-08)},
 year = {2008}
}

From Indentation Shapes to Code Structures

Abram Hindle, Michael W. Godfrey, and Richard C. Holt
8th IEEE Intl. Working Conference on Source Code Analysis and Manipulation (SCAM 2008) Beijing, China
2008 111--120
Acceptance:23/61 or 38%
PDF
@inproceedings{abram2008SCAM2008fistcs,
 author = {Abram Hindle and Michael W. Godfrey and and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, and Richard C. Holt},
 booktitle = {8th IEEE Intl. Working Conference on Source Code Analysis and Manipulation (SCAM 2008)},
 date = {2008-09-28},
 dateconf = {2008-09-28},
 funding = {NSERC PGS-D},
 location = {Beijing, China},
 pagerange = {111--120},
 pages = {111--120},
 rate = {23/61 or 38%},
 role = { Co-author},
 title = {From Indentation Shapes to Code Structures},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2008SCAM-indentation-shape.pdf},
 venue = {8th IEEE Intl. Working Conference on Source Code Analysis and Manipulation (SCAM 2008)},
 year = {2008}
}

Reading Beside the Lines: Indentation as a Proxy for Complexity Metrics

Abram Hindle, Michael W. Godfrey, and Richard C. Holt
Proc. of 2008 IEEE Intl. Conference on Program Comprehension (ICPC-08) Amsterdam, The Netherlands
2008 133--142
Acceptance:38%
PDF
@inproceedings{abram2008ICPC08rbtliaapfcm,
 author = {Abram Hindle and Michael W. Godfrey and and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, and Richard C. Holt},
 booktitle = {Proc. of 2008 IEEE Intl. Conference on Program Comprehension (ICPC-08)},
 date = {2008-06-10},
 funding = {NSERC PGS-D},
 location = {Amsterdam, The Netherlands},
 pagerange = {133--142},
 pages = {133--142},
 rate = {38%},
 role = { Co-author},
 title = {Reading Beside the Lines: Indentation as a Proxy for Complexity Metrics},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2008ICPC-reading-beside-the-lines.pdf},
 venue = {Proc. of 2008 IEEE Intl. Conference on Program Comprehension (ICPC-08)},
 year = {2008}
}

What do large commits tell us?: A taxonomical study of large commits

Abram Hindle, Daniel M. German, Richard C. Holt
Proc. of the 2008 Working Conference on Mining Software Repositories (MSR-08) Leipzig, Germany
2008 99--108
Acceptance:8/42 or 19%
PDF
@inproceedings{abram2008MSR08wdlctuatsolc,
 author = {Abram Hindle and Daniel M. German and Richard C. Holt},
 authors = {Abram Hindle, Daniel M. German, Richard C. Holt},
 booktitle = {Proc. of the 2008 Working Conference on Mining Software Repositories (MSR-08)},
 date = {2008-05-10},
 funding = {NSERC PGS-D},
 location = {Leipzig, Germany},
 pagerange = {99--108},
 pages = {99--108},
 rate = {8/42 or 19%},
 role = { Co-author},
 title = {What do large commits tell us?: A taxonomical study of large commits},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindleMSR2008-large-changes.pdf},
 venue = {Proc. of the 2008 Working Conference on Mining Software Repositories (MSR-08)},
 year = {2008}
}

Release Pattern Discovery via Partitioning: Methodology and Case Study

Abram Hindle, Michael W. Godfrey, Richard C. Holt
Proc. of 2007 Intl. Workshop on Mining Software Repositories (MSR-07) Minneapolis, United States
2007 1--9
Acceptance:15/39 or 38%
PDF
@inproceedings{abram2007MSR07rpdvpmacs,
 author = {Abram Hindle and Michael W. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, Richard C. Holt},
 booktitle = {Proc. of 2007 Intl. Workshop on Mining Software Repositories (MSR-07)},
 date = {May 19--20, 2007},
 funding = {NSERC PGS-D},
 location = {Minneapolis, United States},
 pagerange = {1--9},
 pages = {1--9},
 rate = {15/39 or 38%},
 region = {Minnesota},
 role = { Co-author},
 title = {Release Pattern Discovery via Partitioning: Methodology and Case Study},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2007MSR-Release-Pattern-Discovery.pdf},
 venue = {Proc. of 2007 Intl. Workshop on Mining Software Repositories (MSR-07)},
 year = {2007}
}

Release Pattern Discovery: A Case Study of Database Systems

Abram Hindle, Michael W. Godfrey, Richard C. Holt
Proc. of the 2007 Intl. Conference on Software Maintenance (ICSM-07) Paris, France
2007 285--294
Acceptance:41/214 or 21%
PDF
@inproceedings{abram2007ICSM07rpdacsods,
 author = {Abram Hindle and Michael W. Godfrey and Richard C. Holt},
 authors = {Abram Hindle, Michael W. Godfrey, Richard C. Holt},
 booktitle = {Proc. of the 2007 Intl. Conference on Software Maintenance (ICSM-07)},
 date = {2007-10-2},
 funding = {NSERC PGS-D},
 location = {Paris, France},
 pagerange = {285--294},
 pages = {285--294},
 rate = {41/214 or 21%},
 role = { Co-author},
 title = {Release Pattern Discovery: A Case Study of Database Systems},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2007ICSM-release-pattern.pdf},
 venue = {Proc. of the 2007 Intl. Conference on Software Maintenance (ICSM-07)},
 year = {2007}
}

YARN: Animating Software Evolution

Abram Hindle, ZhenMing Jiang, Walid Koleilat, Michael W. Godfrey, and Richard C. Holt
Proc. of 2007 IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT-07) Banff, Alberta
2007 129--136
Acceptance:15/34 or 44%
PDF
DOI:10.1109/VISSOF.2007.4290711
@inproceedings{abram2007VISSOFT07yase,
 author = {Abram Hindle and ZhenMing Jiang and Walid Koleilat and Michael W. Godfrey and and Richard C. Holt},
 authors = {Abram Hindle, ZhenMing Jiang, Walid Koleilat, Michael W. Godfrey, and Richard C. Holt},
 booktitle = {Proc. of 2007 IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT-07)},
 date = {2007-06-25},
 doi = {10.1109/VISSOF.2007.4290711},
 funding = {NSERC PGS-D},
 location = {Banff, Alberta},
 pagerange = {129--136},
 pages = {129--136},
 rate = {15/34 or 44%},
 role = { Co-author},
 title = {YARN: Animating Software Evolution},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2007VISSOFT-YARN.pdf},
 venue = {Proc. of 2007 IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT-07)},
 year = {2007}
}

Visualizing the evolution of software using softChange

Daniel M. German and Abram Hindle
International Journal of Software Engineering and Knowledge Engineering
2006 5--22
PDF
Publisher Link
@article{daniel2006IJSEKEvteosus,
 author = {Daniel M. German and Abram Hindle},
 authors = {Daniel M. German and Abram Hindle},
 funding = {NSERC CGS-M},
 journal = {International Journal of Software Engineering and Knowledge Engineering},
 pagerange = {5--22},
 pages = {5--22},
 payurl = {http://www.worldscientific.com/doi/abs/10.1142/S0218194006002665},
 role = { Supporting author, writing},
 title = {Visualizing the evolution of software using softChange},
 type = {article},
 url = {http://softwareprocess.ca/pubs/dmg2006_sekeJournal_softchange.pdf},
 venue = {International Journal of Software Engineering and Knowledge Engineering},
 volume = {16(1)},
 year = {2006}
}

Measuring Fine-Grained Change in Software: Towards Modification-Aware Change Metrics

Daniel M. German, Abram Hindle
Proc. IEEE METRICS 2005 Como, Italy
2005 28--37
Acceptance:39/89 or 44%
PDF
@inproceedings{daniel2005PIEEEMETRICS2005mfcistmcm,
 author = {Daniel M. German and Abram Hindle},
 authors = {Daniel M. German, Abram Hindle},
 booktitle = {Proc. IEEE METRICS 2005},
 date = {2005-09-19},
 funding = {NSERC CGS-M},
 location = {Como, Italy},
 pagerange = {28--37},
 pages = {28--37},
 rate = {39/89 or 44%},
 role = {Co-author, editing},
 title = {Measuring Fine-Grained Change in Software: Towards Modification-Aware Change Metrics},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/dmg2005METRICS-change-aware.pdf},
 venue = {Proc. IEEE METRICS 2005},
 year = {2005}
}

SCQL: A formal model and a query language for source control repositories

Abram Hindle and Daniel M. German
Proc. of 2nd International Workshop on Mining Software Repositories (MSR 2005) St. Louis, United States
2005 1--5
Acceptance:11/38 or 29%
PDF
@inproceedings{abram2005MSR2005safmaaqlfscr,
 author = {Abram Hindle and Daniel M. German},
 authors = {Abram Hindle and Daniel M. German},
 booktitle = {Proc. of 2nd International Workshop on Mining Software Repositories (MSR 2005)},
 date = {2005-05-17},
 funding = {NSERC CGS-M},
 location = {St. Louis, United States},
 pagerange = {1--5},
 pages = {1--5},
 rate = {11/38 or 29%},
 region = {Missouri},
 role = {Primary author},
 title = {SCQL: A formal model and a query language for source control repositories},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/hindle2005MSR-SCQL.pdf},
 venue = {Proc. of 2nd International Workshop on Mining Software Repositories (MSR 2005)},
 year = {2005}
}

Visualizing the evolution of software using softChange

Daniel M. German, Abram Hindle, Norman Jordan
Proc. of Software Engineering Knowledge Engineering (SEKE) Banff, Canada
2004 336--341
Acceptance:38%
PDF
@inproceedings{daniel2004SEKEvteosus,
 author = {Daniel M. German and Abram Hindle and Norman Jordan},
 authors = {Daniel M. German, Abram Hindle, Norman Jordan},
 booktitle = {Proc. of Software Engineering Knowledge Engineering (SEKE)},
 date = {2004-06-20},
 funding = {NSERC CGS-M},
 location = {Banff, Canada},
 pagerange = {336--341},
 pages = {336--341},
 rate = {38%},
 region = {Alberta},
 role = {Co-author, editing},
 title = {Visualizing the evolution of software using softChange},
 type = {inproceedings},
 url = {http://softwareprocess.ca/pubs/german2004SEKE-softChange.pdf},
 venue = {Proc. of Software Engineering Knowledge Engineering (SEKE)},
 year = {2004}
}