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MSR 2021
Mon 17 - Wed 19 May 2021
co-located with ICSE 2021

This program is tentative and subject to change.

Wed 19 May 2021 17:09 - 17:13 at MSR Room 2 - Change Management and Analysis

Companies have adopted modern code review as a key technique for continuously monitoring and improving the quality of software changes. One of the main motivations for this is the early detection of design impactful changes, to prevent that design-degrading ones prevail after each code review. Even though design degradation symptoms often lead to changes’ rejections, practices of modern code review alone are actually not sufficient to avoid or mitigate design decay. Software design degrades whenever one or more symptoms of poor structural decisions, usually represented by smells, end up being introduced by a change. Design degradation may be related to both technical and social aspects in collaborative code reviews. Unfortunately, there is no study that investigates whether code review stakeholders, e.g, reviewers, could benefit from approaches to distinguish and predict design impactful changes with technical and/or social aspects. By analyzing 57,498 reviewed code changes from seven open-source systems, we report a large-scale investigation on prediction of design impactful changes in modern code review. We evaluated the use of six ML algorithms to predict design impactful changes. We also extracted and assessed 41 different features based on both social and technical aspects. Our results show that Random Forest and Gradient Boosting are the best algorithms. We also observed that the use of technical features results in more precise predictions. However, the use of social features alone, which are available even before the code review starts (e.g., for team managers or change assigners), also leads to highly-accurate prediction. Therefore social and/or technical prediction models can be used to support further design inspection of suspicious changes early in a code review process. Finally, we provide an enriched dataset that allows researchers to investigate the context behind design impactful changes during the code review process.

This program is tentative and subject to change.

Wed 19 May
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

17:00 - 17:50
Change Management and AnalysisTechnical Papers / Registered Reports at MSR Room 2
17:01
4m
Talk
Studying the Change Histories of Stack Overflow and GitHub Snippets
Technical Papers
Saraj Singh ManesCarleton University, Olga BaysalCarleton University
Pre-print
17:05
4m
Talk
Learning Off-By-One Mistakes: An Empirical Study
Technical Papers
Hendrig SellikDelft University of Technology, Onno van ParidonAdyen N.V., Georgios GousiosFacebook & Delft University of Technology, Maurício AnicheDelft University of Technology
Pre-print
17:09
4m
Talk
Predicting Design Impactful Changes in Modern Code Review: A Large-Scale Empirical Study
Technical Papers
Anderson UchôaPontifical Catholic University of Rio de Janeiro (PUC-Rio), Caio BarbosaPontifical Catholic University of Rio de Janeiro (PUC-Rio), Daniel CoutinhoPontifical Catholic University of Rio de Janeiro (PUC-Rio), Willian OizumiPontifical Catholic University of Rio de Janeiro (PUC-Rio), Wesley AssunçãoPontifical Catholic University of Rio de Janeiro (PUC-Rio), Silvia Regina VergilioFederal University of Paraná, Juliana Alves PereiraPUC-Rio, Anderson OliveiraPUC-Rio, Alessandro GarciaPUC-Rio
Pre-print
17:13
4m
Talk
Rollback Edit Inconsistencies in Developer Forum
Technical Papers
Saikat MondalUniversity of Saskatchewan, Gias UddinUniversity of Calgary, Canada, Chanchal K. RoyUniversity of Saskatchewan
Pre-print
17:17
3m
Talk
Assessing the Exposure of Software Changes: The DiPiDi Approach
Registered Reports
Mehran MeidaniUniversity of Waterloo, Maxime LamotheUniversity of Waterloo, Shane McIntosh
Pre-print
17:20
4m
Talk
On the Use of Dependabot Security Pull Requests
Technical Papers
Mahmoud AlfadelConcordia Univerisity, Diego CostaConcordia University, Canada, Emad ShihabConcordia University, Mouafak MkhallalatiConcordia University
Pre-print
17:24
26m
Live Q&A
Discussions and Q&A
Technical Papers

Information for Participants
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