基于基尼系数的开源软件开发团队活动度量方法

Ayako Masuda, T. Matsuodani, K. Tsuda
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引用次数: 2

摘要

近年来,开源软件(OSS)作为社会基础设施做出了显著的贡献。正如在GitHub中看到的那样,OSS开发(OSSD)团队的模型正在成为事实上的标准。OSSD团队开发用于实现需求的源代码,并进一步开发用于测试源代码的测试代码。本研究测量OSSD中的团队活动,它包括软件测试活动的各个方面。我们之前的研究揭示了OSSD团队的特点,即团队由少数热心贡献者(核心成员)和大量小贡献者组成。这个特性有一些不平等。基尼系数是一个众所周知的用来衡量不平等的经济指数。本研究提出了一种方法来估计和使用工作量人月度量作为软件开发的基尼系数的对象。在这种方法中,团队活动的差异可以比通过提交数量和修改数量获得的基尼系数更精确地检测出来。我们认为这种方法能够精确地检测软件测试活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Team Activities Measurement Method for Open Source Software Development Using the Gini Coefficient
In recent years, open source software (OSS) has made remarkable contributions as social infrastructure. The model of the OSS development (OSSD) team, as seen in the case of GitHub, is becoming the de facto standard. The OSSD team develops source codes for realizing requirements and, further, test codes for testing the source codes. The present study measures the team activity in OSSD, and it includes aspects of software testing activity. Our previous research revealed the characteristic of the OSSD team, which was that the team consists of a small number of enthusiastic contributors (core members) and a large number of small contributors. This characteristic has some inequalities. The Gini coefficient is a well-known economic index used to measure inequality. This study proposes a method to estimate and use an Effort Person-Months metric as an object of the Gini coefficient for software development. In this method, the difference in team activity can be detected more precisely than by the Gini coefficient obtained from the number of commits and the modification amount. We believe that this method covers detecting software testing activities precisely.
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