When encountering bug issues, developers tend to search the bug repository and commit repository for references. However, the links between bug reports and commits in version control systems are often missed, and the information in bug repository and commit repository can provide is simple. When developers search a bug issue, they can only get the information of bug reports or commits, which are loose and difficult for developers to refer. What’s more, many searching results are not accurate. To deal with these problems, this paper proposes an approach to deal with the bug and commit information with the topic model, and construct bug knowledge graph as a service to assist in bug search. In addition, as the amount of bug related information continuously increase, it is time-consuming to update the data. We can automatically update the bug knowledge graph with the LTM topic model (a lifelong topic model). Finally, the experiment with the bug reports from Bugzilla@Mozilla and the corresponding commits from Github was conducted. The experiment results show that our approach is effective and efficient to help developers search relevant bugs for reference by constructing the bug knowledge as a service.

中文翻译：

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将错误知识图构建为错误搜索的服务

当遇到 bug 问题时，开发人员倾向于搜索 bug 存储库和提交存储库以获取参考。但是，版本控制系统中的 bug 报告和提交之间的链接经常被遗漏，而 bug 存储库和提交存储库中可以提供的信息很简单。开发者在搜索一个bug issue时，只能得到bug报告或者commit的信息，这些信息比较松散，开发者很难参考。更重要的是，许多搜索结果并不准确。针对这些问题，本文提出了一种利用主题模型处理bug和commit信息的方法，并将bug知识图谱构建为服务来辅助bug搜索。此外，随着bug相关信息量的不断增加，更新数据也很耗时。我们可以使用 LTM 主题模型（终身主题模型）自动更新 bug 知识图谱。最后，对来自 Bugzilla@Mozilla 的错误报告和来自 Github 的相应提交进行了实验。实验结果表明，我们的方法通过将错误知识构建为服务来帮助开发人员搜索相关错误以供参考，这是有效且高效的。