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

Dragos Şerban; Bart Golsteijn; Ralph Holdorp; Alexander Serebrenik

doi:DOI 10.1109/BotSE52550.2021.00013

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings - 2021 IEEE/ACM 3rd International Workshop on Bots in Software Engineering, BotSE 2021
Publisher	IEEE Computer Society
Pages	26-30
Number of pages	5
ISBN (Electronic)	9781665444682
DOIs	https://doi.org/DOI 10.1109/BotSE52550.2021.00013
Publication status	Published - 4 Jun 2021

Keywords

GitHub suggestions
bot
static analysis

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DOI 10.1109/BotSE52550.2021.00013

https://www.win.tue.nl/~aserebre/BotSE2021.pdf

Cite this

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title = "SAW-BOT: Proposing Fixes for Static Analysis Warnings with GitHub Suggestions",

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.",

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author = "Dragos {\c S}erban and Bart Golsteijn and Ralph Holdorp and Alexander Serebrenik",

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SAW-BOT: Proposing Fixes for Static Analysis Warnings with GitHub Suggestions. / Şerban, Dragos; Golsteijn, Bart; Holdorp, Ralph; Serebrenik, Alexander.

Proceedings - 2021 IEEE/ACM 3rd International Workshop on Bots in Software Engineering, BotSE 2021. IEEE Computer Society, 2021. p. 26-30 9474413.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Holdorp, Ralph

AU - Serebrenik, Alexander

PY - 2021/6/4

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N2 - 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.

AB - 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.

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DO - DOI 10.1109/BotSE52550.2021.00013

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

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Keywords

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