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

Dragos Serban, Bart Golsteijn, Ralph Holdorp, Alexander Serebrenik
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引用次数: 9

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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SAW-BOT:通过GitHub建议修复静态分析警告
在本体验报告中,我们介绍了SAW-BOT,一个针对静态分析警告提出修复建议的机器人。通过绿野仙踪实验、半结构化访谈和mTAM问卷,五位专业软件开发人员对机器人进行了评估。我们观察到开发人员更喜欢GitHub建议而不是两种基线操作模式。我们的研究表明,GitHub建议是实现机器人提出静态分析警告修复的可行机制。
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Testing challenges for NLP-intensive bots SAW-BOT: Proposing Fixes for Static Analysis Warnings with GitHub Suggestions Message from the BotSE 2021 Organizers Towards a question answering assistant for software development using a transformer-based language model Nudging Students Toward Better Software Engineering Behaviors
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