通过作者-主题模型挖掘Eclipse开发人员贡献

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI:10.1109/MSR.2007.20

Erik J. Linstead, Paul Rigor, S. Bajracharya, C. Lopes, P. Baldi

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引用次数: 69

摘要

我们展示了将统计作者-主题模型应用于Eclipse 3.0源代码的一个子集的结果，该子集由来自59个开发人员的2,119个源文件和700,000行代码组成。该技术提供了一个直观和自动化的框架，可以从给定的代码库中挖掘开发人员的贡献和能力，同时以主题的形式提取软件功能。除了作为程序功能和开发人员活动的方便总结外，我们的研究表明，主题模型为开发人员相似性分析提供了有意义、有效和统计基础。

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Mining Eclipse Developer Contributions via Author-Topic Models

We present the results of applying statistical author-topic models to a subset of the Eclipse 3.0 source code consisting of 2,119 source files and 700,000 lines of code from 59 developers. This technique provides an intuitive and automated framework with which to mine developer contributions and competencies from a given code base while simultaneously extracting software function in the form of topics. In addition to serving as a convenient summary for program function and developer activities, our study shows that topic models provide a meaningful, effective, and statistical basis for developer similarity analysis.

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来源期刊

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)

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