跨项目缺陷修复的实证分析
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How do Developers Fix Cross-project Correlated Bugs? A case study on the GitHub scientific Python ecosystem
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    摘要:

    对Github上Python科学计算软件生态系统中的跨项目关联缺陷进行了实证分析,聚焦于开发者对缺陷根源的追踪和上下游项目开发者修复缺陷的协作。通过定性和定量的分析,揭示了影响这类缺陷定位与修复的因素,以及开发者应对它们的常见行为。

    Abstract:

    GitHub, a popular social-software-development platform, has fostered a variety of software ecosystems where projects depend on one another and practitioners interact with each other. Projects within an ecosystem often have complex inter-dependencies that impose new challenges in bug reporting and fixing. In this paper, we conduct an empirical study on cross-project correlated bugs, i.e., causally related bugs reported to different projects, focusing on two aspects: 1) how developers track the root causes across projects; and 2) how the downstream developers coordinate to deal with upstream bugs. Through manual inspection of bug reports collected from the scientific Python ecosystem and an online survey with developers, this study reveals the common practices of developers and the various factors in fixing cross-project bugs. These findings provide implications for future software bug analysis in the scope of ecosystem, as well as shed light on the requirements of issue trackers for such bugs.

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马皖王莹,陈林,张翔宇,周毓明,徐宝文.跨项目缺陷修复的实证分析.软件学报,,():

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  • 在线发布日期: 2017-09-11
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