Effects of Adopting Code Review Bots on Pull Requests to OSS Projects

Mairieli Wessel, Alexander Serebrenik, Igor Wiese, Igor Steinmacher, Marco A. Gerosa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

Software bots, which are widely adopted by Open Source Software (OSS) projects, support developers on several activities, including code review. However, as with any new technology adoption, bots may impact group dynamics. Since understanding and anticipating such effects is important for planning and management, we investigate how several activity indicators change after the adoption of a code review bot. We employed a regression discontinuity design on 1,194 software projects from GitHub. Our results indicate that the adoption of code review bots increases the number of monthly merged pull requests, decreases monthly non-merged pull requests, and decreases communication among developers. Practitioners and maintainers may leverage our results to understand, or even predict, bot effects on their projects' social interactions.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-11
Number of pages11
ISBN (Electronic)9781728156194
DOIs
StatePublished - Sep 2020
Event36th IEEE International Conference on Software Maintenance and Evolution, ICSME 2020 - Virtual, Adelaide, Australia
Duration: Sep 27 2020Oct 3 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020

Conference

Conference36th IEEE International Conference on Software Maintenance and Evolution, ICSME 2020
Country/TerritoryAustralia
CityVirtual, Adelaide
Period9/27/2010/3/20

Keywords

  • Code Review
  • GitHub Bots
  • Open Source Software
  • Software Bots
  • Software Engineering

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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