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Crowdsourced bug triaging

机译:众包错误分类

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摘要

Bug triaging and assignment is a time-consuming task in big projects. Most research in this area examines the developers' prior development and bug-fixing activities in order to recognize their areas of expertise and assign to them relevant bug fixes. We propose a novel method that exploits a new source of evidence for the developers' expertise, namely their contributions to Q&A platforms such as Stack Overflow. We evaluated this method in the context of the 20 largest GitHub projects, considering 7144 bug reports. Our results demonstrate that our method exhibits superior accuracy to other state-of-the-art methods, and that future bug-assignment algorithms should consider exploring other sources of expertise, beyond the project's version-control system and bug tracker.
机译:在大型项目中,错误分类和分配是一项耗时的任务。该领域中的大多数研究都检查开发人员的先前开发和错误修复活动,以便识别他们的专业领域并为他们分配相关的错误修复。我们提出了一种新颖的方法,该方法利用开发人员的专业知识(即他们对Q&A平台(例如Stack Overflow)的贡献)的新证据来源。考虑到7144个bug报告,我们在20个最大的GitHub项目的上下文中评估了此方法。我们的结果表明,我们的方法比其他最新方法具有更高的准确性,并且未来的错误分配算法应考虑探索除项目版本控制系统和错误跟踪器之外的其他专业知识。

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