20-MAD --Mozilla和Apache开发20年的问题和承诺
20-MAD -- 20 Years of Issues and Commits of Mozilla and Apache Development
摘要：
长期和高知名度项目的数据对于研究野外成功的软件工程是有价值的。拥有一个包含这些项目的不同链接软件库的数据集，可以进行更深入的潜水调查。本文介绍了20-MAD，一个链接Mozilla和Apache项目的提交和发布数据的数据集。它包含了超过20年的765个项目的信息，340万次提交，230万次问题和1730万次问题评论，其压缩大小超过6 GB。数据包含有关源代码提交的所有典型信息（例如，添加和删除的行、消息和提交时间）和问题（状态、严重性、投票和摘要）。问题评论已经过自然语言处理和情感分析的预处理。这包括表情符号、效价和唤醒分数。链接代码存储库和问题跟踪器信息，允许在两种类型的存储库中研究个人，并为问题跟踪器提供更准确的时区信息。据我们所知，这是不基于GitHub的项目生命周期中最大的链接数据集。
英文摘要：
Data of long-lived and high profile projects is valuable for research on successful software engineering in the wild. Having a dataset with different linked software repositories of such projects, enables deeper diving investigations. This paper presents 20-MAD, a dataset linking the commit and issue data of Mozilla and Apache projects. It includes over 20 years of information about 765 projects, 3.4M commits, 2.3M issues, and 17.3M issue comments, and its compressed size is over 6 GB. The data contains all the typical information about source code commits (e.g., lines added and removed, message and commit time) and issues (status, severity, votes, and summary). The issue comments have been pre-processed for natural language processing and sentiment analysis. This includes emoticons and valence and arousal scores. Linking code repository and issue tracker information, allows studying individuals in two types of repositories and provide more accurate time zone information for issue trackers as well. To our knowledge, this the largest linked dataset in size and in project lifetime that is not based on GitHub.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
