SAW-BOT: Proposing Fixes for Static Analysis Warnings with GitHub Suggestions

Dragos Şerban, Bart Golsteijn, Ralph Holdorp, Alexander Serebrenik

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

In this experience report we present SAW-BOT, a bot proposing fixes for static analysis warnings. The bot has been evaluated with five professional software developers by means of a Wizard of Oz experiment, semi-structured interviews and the mTAM questionnaire. We have observed that developers prefer GitHub suggestions to two baseline operation modes. Our study indicates that GitHub suggestions are a viable mechanism for implementing bots proposing fixes for static analysis warnings.
Original languageEnglish
Title of host publicationProceedings - 2021 IEEE/ACM 3rd International Workshop on Bots in Software Engineering, BotSE 2021
PublisherIEEE Computer Society
Pages26-30
Number of pages5
ISBN (Electronic)9781665444682
DOIs
Publication statusPublished - 4 Jun 2021

Keywords

  • GitHub suggestions
  • bot
  • static analysis

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