How Do Developers Fix Cross-Project Correlated Bugs? A Case Study on the GitHub Scientific Python Ecosystem

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE) Pub Date : 2017-05-20 DOI:10.1109/ICSE.2017.42

Wanwangying Ma, Lin Chen, X. Zhang, Yuming Zhou, Baowen Xu

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引用次数: 59

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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开发者如何修复跨项目相关的bug ?GitHub科学Python生态系统案例研究

GitHub是一个流行的社交软件开发平台，它培育了各种各样的软件生态系统，项目相互依赖，从业者相互交流。生态系统中的项目通常具有复杂的相互依赖关系，这给bug报告和修复带来了新的挑战。在本文中，我们对跨项目相关bug(即报告给不同项目的因果相关bug)进行了实证研究，重点关注两个方面:1)开发人员如何跨项目跟踪根源，2)下游开发人员如何协调处理上游bug。通过手工检查从科学Python生态系统中收集的bug报告和对开发人员的在线调查，本研究揭示了开发人员的常见做法以及修复跨项目bug的各种因素。这些发现为未来在生态系统范围内的软件缺陷分析提供了启示，同时也阐明了对此类缺陷进行问题跟踪的需求。

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2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)

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