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The review linkage graph for code review analytics: a recovery approach and empirical study

Toshiki Hirao, Shane McIntosh, Akinori Ihara, Kenichi Matsumoto

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{Hirao-al:FSE19,
  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},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {578--589},
  publisher = {{ACM}},
  year      = {2019},
}

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