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ESEC/FSE 2022
Mon 14 - Fri 18 November 2022 Singapore
Mon 14 Nov 2022 12:15 - 12:30 at SRC GLR - JF Human Aspects Chair(s): Sandeep Kuttal

Modern, complex software systems are being continuously extended and adjusted. The developers responsible for this may come from different teams or organizations, and may be distributed over the world. This may make it difficult to keep track of what other developers are doing, which may result in multiple developers concurrently editing the same code areas. This, in turn, may lead to hard-to-merge changes or even merge conflicts, logical bugs that are difficult to detect, duplication of work, and wasted developer productivity. To address this, we explore the extent of this problem in the pull request based software development model. We study half a year of changes made to six large repositories in Microsoft in which at least 1,000 pull requests are created each month. We find that files concurrently edited in different pull requests are more likely to introduce bugs. Motivated by these findings, we design, implement, and deploy a service named ConE (Concurrent Edit Detector) that proactively detects pull requests containing concurrent edits, to help mitigate the problems caused by them. ConE has been designed to scale, and to minimize false alarms while still flagging relevant concurrently edited files. Key concepts of ConE include the detection of the Extent of Overlap between pull requests, and the identification of Rarely Concurrently Edited Files. To evaluate ConE, we report on its operational deployment on 234 repositories inside Microsoft. ConE assessed 26,000 pull requests and made 775 recommendations about conflicting changes, which were rated as useful in over 70% (554) of the cases. From interviews with 48 users we learned that they believed ConE would save time in conflict resolution and avoiding duplicate work, and that over 90% intend to keep using the service on a daily basis.

Mon 14 Nov

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

11:00 - 12:30
JF Human AspectsJournal First at SRC GLR
Chair(s): Sandeep Kuttal University of Tulsa
11:00
15m
Talk
Pull Request Latency Explained: An Empirical Overview
Journal First
Xunhui Zhang National University of Defense Technology, China, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Tao Wang National University of Defense Technology, Ayushi Rastogi University of Groningen, The Netherlands, Huaimin Wang National University of Defense Technology
Link to publication DOI Pre-print
11:15
15m
Talk
Engineering Impacts of Anonymous Author Code Review: A Field Experiment
Journal First
Emerson Murphy-Hill Google, Jillian Dicker Google, Margaret Morrow Hodges Google, Carolyn Egelman Google, Ciera Jaspan Google, Lan Cheng Google, Liz Kammer Google, Ben Holtz Google, Matthew Jorde Google, Inc., Andrea Knight Google, Collin Green Google
11:30
15m
Talk
An Actionable Framework for Understanding and Improving Developer Experience
Journal First
Michaela Greiler University of Zurich, Switzerland, Margaret-Anne Storey University of Victoria, Abi Noda DX, USA
11:45
15m
Talk
The Influence of Human Aspects on Requirements Engineering-related Activities: Software practitioners’ Perspective
Journal First
Dulaji Hidellaarachchi Monash University, John Grundy Monash University, Rashina Hoda Monash University, ingo Mueller Monash University
12:00
15m
Talk
How are project-specific forums utilized? A study of participation, content, and sentiment in the Eclipse ecosystem
Journal First
Yusuf Sulistyo Nugroho Universitas Muhammadiyah Surakarta, Syful Islam Nara Institute of Science and Technology, Keitaro Nakasai National Institute of Technology, Kagoshima College, Ifraz Rehman Nara Institute of Science and Technology, Hideaki Hata Shinshu University, Raula Gaikovina Kula Nara Institute of Science and Technology, Mei Nagappan University of Waterloo, Kenichi Matsumoto Nara Institute of Science and Technology
Link to publication DOI Pre-print Media Attached
12:15
15m
Talk
ConE: A Concurrent Edit Detection Tool for Large Scale Software Development
Journal First
Chandra Maddila Microsoft Research, Nachiappan Nagappan Facebook, Christian Bird Microsoft Research, Georgios Gousios Endor Labs & Delft University of Technology, Arie van Deursen Delft University of Technology
DOI Pre-print