自动生成拉取请求标题的工具

I. Irsan, Ting Zhang, Ferdian Thung, David Lo, Lingxiao Jiang
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引用次数: 4

摘要

随着拉请求机制在软件开发中的兴起,拉请求的质量受到越来越多的关注。先前的工作主要集中在提高拉请求描述的质量,并提出了几种自动生成拉请求描述的方法。作为拉取请求的重要组成部分,拉取请求标题并没有受到类似程度的关注。为了进一步促进软件开发中的自动化,并帮助开发人员起草高质量的pull request标题,我们引入了AutoPRTitle。AutoPRTitle是专门为自动生成pull request标题而设计的。AutoPRTitle可以根据拉取请求描述、提交消息和相关的问题标题生成精确而简洁的拉取请求标题。AutoPRTitle是建立在最先进的文本摘要模型BART之上的,该模型已经在大规模的英语语料库上进行了预训练。我们进一步在包含高质量拉请求标题的拉请求数据集中对BART进行了微调。我们将AutoPRTitle作为一个独立的web应用程序来实现。我们进行了两组评估:一组关于模型的准确性,另一组关于工具的可用性。对于模型精度,BART分别比最佳基线高出24.6%、40.5%和23.3%。对于工具的可用性,评估者认为我们的工具在创建高质量的pull request标题时易于使用和有用。
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AutoPRTitle: A Tool for Automatic Pull Request Title Generation
With the rise of the pull request mechanism in software development, the quality of pull requests has gained more attention. Prior works focus on improving the quality of pull request descriptions and several approaches have been proposed to automatically generate pull request descriptions. As an essential component of a pull request, pull request titles have not received a similar level of attention. To further facilitate automation in software development and to help developers draft high-quality pull request titles, we introduce AutoPRTitle. AutoPRTitle is specifically designed to generate pull request titles automatically. AutoPRTitle can generate a precise and succinct pull request title based on the pull request description, commit messages, and the associated issue titles. AutoPRTitle is built upon a state-of-the-art text summarization model, BART, which has been pre-trained on large-scale English corpora. We further fine-tuned BART in a pull request dataset containing high-quality pull request titles. We implemented AutoPRTitle as a stand-alone web application. We conducted two sets of evaluations: one concerning the model accuracy and the other concerning the tool usability. For model accuracy, BART outperforms the best baseline by 24.6%, 40.5%, and 23.3%, respectively. For tool usability, the evaluators consider our tool as easy-to-use and useful when creating a pull request title of good quality.
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