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ESEC/FSE 2022
Mon 14 - Fri 18 November 2022 Singapore
Tue 15 Nov 2022 11:45 - 12:00 at SRC LT 51 - Empirical II Chair(s): Lwin Khin Shar

Code review is an effective quality assurance practice, but can be labor-intensive since developers have to manually review the code and provide written feedback. Recently, a Deep Learning (DL)-based approach was introduced to automatically recommend code review comments based on changed methods. While the approach showed promising results, it requires expensive computational resource and time which limits its use in practice. To address this limitation, we propose CommentFinder – a retrieval-based approach to recommend code review comments. Through an empirical evaluation of 151,019 changed methods, we evaluate the effectiveness and efficiency of CommentFinder against the state-of-the-art approach. We find that when recommending the best-1 review comment candidate, our CommentFinder is 32% better than prior work in recommending the correct code review comment. In addition, CommentFinder is 49 times faster than the prior work. These findings highlight that our CommentFinder could help reviewers to reduce the manual efforts by recommending code review comments, while requiring less computational time.

Tue 15 Nov

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

10:45 - 12:30
Empirical IIIndustry Paper / Research Papers / Demonstrations at SRC LT 51
Chair(s): Lwin Khin Shar Singapore Management University
10:45
15m
Talk
Using Nudges to Accelerate Code Reviews at ScaleDistinguished Paper Award
Research Papers
Qianhua Shan Meta, David Sukhdeo Meta, Qianying Huang Meta, Seth Rogers Meta, Lawrence Chen Meta, Elise Paradis Meta, Peter Rigby Concordia University; Meta, Nachiappan Nagappan Facebook
DOI
11:00
15m
Talk
First Come First Served: The Impact of File Position on Code ReviewDistinguished Paper Award
Research Papers
Enrico Fregnan University of Zurich, Larissa Braz University of Zurich, Marco D'Ambros USI Lugano, Gül Calikli University of Glasgow, Alberto Bacchelli University of Zurich
DOI Pre-print Media Attached
11:15
15m
Talk
Code, Quality, and Process Metrics in Graduated and Retired ASFI Projects
Research Papers
Ştefan Stănciulescu University of California at Davis, Likang Yin University of California at Davis, Vladimir Filkov University of California at Davis
DOI Pre-print Media Attached
11:30
15m
Talk
Are Elevator Software Robust against Uncertainties? Results and Experiences from an Industrial Case Study
Industry Paper
Liping Han Nanjing University of Aeronautics and Astronautics; Simula Research Laboratory, Tao Yue Simula Research Laboratory, Shaukat Ali Simula Research Laboratory, Aitor Arrieta Mondragon University, Maite Arratibel Orona
DOI
11:45
15m
Talk
CommentFinder: A Simpler, Faster, More Accurate Code Review Comments Recommendation
Research Papers
Yang Hong Monash University, Kla Tantithamthavorn Monash University, Patanamon Thongtanunam University of Melbourne, Aldeida Aleti Monash University
DOI
12:00
7m
Talk
TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements
Demonstrations
Saad Ezzini University of Luxembourg, Sallam Abualhaija University of Luxembourg, Chetan Arora Deakin University, Mehrdad Sabetzadeh University of Ottawa
12:08
7m
Talk
COREQQA - A COmpliance REQuirements Understanding using Question Answering Tool
Demonstrations
Sallam Abualhaija University of Luxembourg, Chetan Arora Deakin University, Lionel Briand University of Luxembourg; University of Ottawa