A Multi-level Dataset of Linux Kernel Patchwork

Yulin Xu, Minghui Zhou
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引用次数: 7

Abstract

In many open source software projects (e.g., the Linux kernel), people contribute by sending code patches to the community. The community evaluates these contributions and decides whether to integrate the changes. To improve the efficiency of code contributions, substantial effort has been devoted to analyzing how patches are submitted and processed. Patch data are critical for this type of analysis, while retrieving and cleaning the data is a non-trivial job. To facilitate these studies, we share a multi-level dataset of a Linux kernel patchwork covering a nine-year history of patches and related discussion recorded by the Linux kernel mailing list (LKML). The data and scripts are provided at: https://zenodo.org/record/1165576
Linux内核补丁的多级数据集
在许多开源软件项目中(例如,Linux内核),人们通过向社区发送代码补丁来做出贡献。社区评估这些贡献并决定是否集成这些更改。为了提高代码贡献的效率,已经投入了大量的精力来分析补丁是如何提交和处理的。补丁数据对于这种类型的分析至关重要,而检索和清理数据是一项非常重要的工作。为了促进这些研究,我们共享了一个Linux内核补丁的多级数据集,涵盖了Linux内核邮件列表(LKML)记录的九年补丁历史和相关讨论。数据和脚本提供于:https://zenodo.org/record/1165576
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