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

Dragos Serban; Bart Golsteijn; Ralph Holdorp; Alexander Serebrenik

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

Dragos Serban, Bart Golsteijn, Ralph Holdorp, Alexander Serebrenik

Software Engineering and Technology - W

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

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	Workshop on Bots in Software Engineering
Publisher	IEEE Computer Society
Publication status	Accepted/In press - 23 Feb 2021

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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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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.

M3 - Conference contribution

BT - Workshop on Bots in Software Engineering

PB - IEEE Computer Society

ER -