Automating bug report assignment

J. Anvik
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引用次数: 117

Abstract

Open-source development projects typically support an open bug repository to which both developers and users can report bugs. A report that appears in this repository must be triaged to determine if the report is one which requires attention and if it is, which developer will be assigned the responsibility of resolving the report. Large open-source developments are burdened by the rate at which new bug reports appear in the bug repository. The thesis of this work is that the task of triage can be eased by using a semi-automated approach to assign bug reports to developers. The approach consists of constructing a recommender for bug assignments; examined are both a range of algorithms that can be used and the various kinds of information provided to the algorithms. The proposed work seeks to determine through human experimentation a sufficient level of precision for the recommendations, and to analytically determine the trade-offs of the various algorithmic and information choices.
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自动化错误报告分配
开源开发项目通常支持开放的错误存储库,开发人员和用户都可以向其报告错误。必须对出现在此存储库中的报告进行分类,以确定该报告是否需要注意,如果需要注意,则哪个开发人员将被分配解决该报告的责任。bug存储库中出现新bug报告的速度给大型开源开发带来了负担。这项工作的主旨是,通过使用半自动化的方法将bug报告分配给开发人员,可以简化分类任务。该方法包括为bug分配构造一个推荐器;研究了可以使用的一系列算法和提供给算法的各种信息。拟议的工作旨在通过人体实验确定推荐的足够精确水平,并分析确定各种算法和信息选择的权衡。
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