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On predicting the time taken to correct bug reports in open source projects

机译:关于预测纠正开源项目中的错误报告所花费的时间

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Existing studies on the maintenance of open source projects focus primarily on the analyses of the overall maintenance of the projects and less on specific categories like the corrective maintenance. This paper presents results from an empirical study of bug reports from an open source project, identifies user participation in the corrective maintenance process through bug reports, and constructs a model to predict the corrective maintenance effort for the project in terms of the time taken to correct faults. Our study focuses on 72482 bug reports from over nine releases of Ubuntu, a popular Linux distribution. We present three main results 1) 95% of the bug reports are corrected by people participating in groups of size ranging from 1 to 8 people, 2) there is a strong linear relationship (about 92%) between the the number of people participating in a bug report and the time taken to correct it, 3) a linear model can be used to predict the time taken to correct bug reports.
机译:现有的关于开源项目维护的研究主要集中在项目总体维护的分析上,而较少关注诸如纠正性维护之类的特定类别。本文介绍了来自开源项目的错误报告的实证研究结果,通过错误报告确定了用户对纠正性维护过程的参与,并构建了一个模型来根据纠正时间来预测项目的纠正性维护工作故障。我们的研究重点是来自九个发行版的Ubuntu(一种流行的Linux发行版)的72482个错误报告。我们提出了三个主要结果:1)95%的错误报告已被1至8人的小组成员更正,2)参与人数之间存在很强的线性关系(约92%)错误报告及其纠正所需的时间,3)可以使用线性模型来预测纠正错误报告所需的时间。

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