Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt CommunitiesJournal-First
Wed 26 May 2021 23:40 - 00:00 at Blended Sessions Room 5 - 2.1.5. Code Review: Observational Studies
Code review is a broadly adopted software quality practice where developers critique each others’ patches. In addition to providing constructive feedback, reviewers may provide a score to indicate whether the patch should be integrated. Since reviewer opinions may differ, patches can receive both positive and negative scores. If reviews with divergent scores are not carefully resolved, they may contribute to a tense reviewing culture and may slow down integration. In this paper, we study patches with divergent review scores in the OPENSTACK and QT communities. Quantitative analysis indicates that patches with divergent review scores: (1) account for 15%–37% of patches that receive multiple review scores; (2) are integrated more often than they are abandoned; and (3) receive negative scores after positive ones in 70% of cases. Furthermore, a qualitative analysis indicates that patches with strongly divergent scores that: (4) are abandoned more often suffer from external issues (e.g., integration planning, content duplication) than patches with weakly divergent scores and patches without divergent scores; and (5) are integrated often address reviewer concerns indirectly (i.e., without changing patches). Our results suggest that review tooling should integrate with release schedules and detect concurrent development of similar patches to optimize review discussions with divergent scores. Moreover, patch authors should note that even the most divisive patches are often integrated through discussion, integration timing, and careful revision.
Wed 26 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
23:20 - 00:20 | |||
23:20 20mPaper | Review Dynamics and Their Impact on Software QualityJournal-First Journal-First Papers Patanamon Thongtanunam University of Melbourne, Ahmed E. Hassan School of Computing, Queen's University DOI Pre-print Media Attached | ||
23:40 20mPaper | Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt CommunitiesJournal-First Journal-First Papers Toshiki Hirao dTosh Inc.,, Shane McIntosh , Akinori Ihara Wakayama University, Kenichi Matsumoto Nara Institute of Science and Technology DOI Pre-print Media Attached | ||
00:00 20mPaper | A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source ProjectsJournal-First Journal-First Papers Alexander Trautsch University of Göttingen, Steffen Herbold University of Göttingen, Jens Grabowski University of Göttingen Link to publication DOI Pre-print Media Attached |