Authors: Toshiki Hirao Shane McIntosh Akinori Ihara Kenichi Matsumoto
Venue: 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering , pp. 578–589, 2015
Year: 2015
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., comments, revisions) are archived, analytics approaches like reviewer recommendation and review outcome prediction have been proposed to support the MCR process. These approaches assume that reviews evolve and are adjudicated independently; yet in practice, reviews can be interdependent.
BibTeX:
@inproceedings{toshikihirao2015trlgfcraaraaes,
author = "Toshiki Hirao and Shane McIntosh and Akinori Ihara and Kenichi Matsumoto",
title = "The review linkage graph for code review analytics: a recovery approach and empirical study",
year = "2015",
pages = "578–589",
booktitle = "Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and
Symposium on the Foundations of Software Engineering
"
}
Plain Text:
Toshiki Hirao, Shane McIntosh, Akinori Ihara, and Kenichi Matsumoto, "The review linkage graph for code review analytics: a recovery approach and empirical study," 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the
Foundations of Software Engineering
, pp. 578–589