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Measuring the maintainability of open-source software

机译:测量开源软件的可维护性

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An editorial in empirical software engineering suggested that open-source software projects offer a great deal of data that can be used for experimentation. These data include artifacts such as source code and defect reports. In this paper we show that sources of open-source maintenance data, such as defect-tracking systems, change logs, and source code, cannot, in general, be used for measuring maintainability. We further show that approaches such as using defect distributions and the average lag time to fix a defect can be equally unusable. We conclude that, despite the plethora of open-source maintenance data, it is extremely hard to find data for determining the maintainability of open-source software.
机译:实证软件工程中的一个编辑表明,开源软件项目提供了大量的数据,可用于实验。这些数据包括诸如源代码和缺陷报告之类的工件。在本文中,我们显示开源维护数据的来源,例如缺陷跟踪系统,更改日志和源代码,不能用于测量可维护性。我们进一步表明,诸如使用缺陷分布和修复缺陷的平均滞后时间的方法可以同样无法使用。我们得出的结论是,尽管存在偏见的开源维护数据,但极难找到确定开源软件可维护性的数据。

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