情報処理学会SIGSE卓越研究賞 受賞
The Review Linkage Graph for Code Review Analytics: A Recovery Approach and Empirical Study
Authors -Toshiki Hirao (NAIST), Shane McIntosh (McGill University), Akinori Ihara, and Kenichi Matsumoto (NAIST)
Venue – 情報処理学会SIGSE
Preprint – [PDF]
ABSTRACT – Modern Code Review (MCR) is a pillar of contemporary quality assurance approaches, where developers discuss and improve code changes prior to integration. Since review interactions (e.g., com- ments, revisions) are archived, analytics approaches like reviewer recommendation and review outcome prediction have been pro- posed to support the MCR process. These approaches assume that reviews evolve and are adjudicated independently; yet in practice, reviews can be interdependent.
In this paper, we set out to better understand the impact of re- view linkage on code review analytics. To do so, we extract review linkage graphs where nodes represent reviews, while edges rep- resent recovered links between reviews. Through a quantitative analysis of six software communities, we observe that (a) linked reviews occur regularly, with linked review rates of 25% in Open- Stack, 17% in Chromium, and 3%ś8% in Android, Qt, Eclipse, and Libreoffice; and (b) linkage has become more prevalent over time. Through qualitative analysis, we discover that links span 16 types that belong to five categories. To automate link category recovery, we train classifiers to label links according to the surrounding doc- ument content. Those classifiers achieve F1-scores of 0.71ś0.79, at least doubling the F1-scores of a ZeroR baseline. Finally, we show that the F1-scores of reviewer recommenders can be improved by 37%ś88% (5ś14 percentage points) by incorporating information from linked reviews that is available at prediction time. Indeed, review linkage should be exploited by future code review analytics.
平尾さん，松本先生（奈良先端大），McIntosh先生 (McGill)との共著論文（著者に伊原先生を含む）が情報処理学会SIGSE卓越研究賞を受賞しました．
関連記事
[Web] IPSJ SIGSE卓越研究賞2019
[記事] 発表論文の紹介記事
BibTeX
@inproceedings{Hirao-ESEC/FSE-201908,
author = {Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto},
title = {The Review Linkage Graph for Code Review Analytics: A Recovery Approach and Empirical Study },
booktitle = {Proc. of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)},
year = 2019,
month = {August},
}
author = {Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto},
title = {The Review Linkage Graph for Code Review Analytics: A Recovery Approach and Empirical Study },
booktitle = {Proc. of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)},
year = 2019,
month = {August},
}
