An Empirical Analysis of Issue Templates Usage in Large-Scale Projects on GitHub

IF 6.6 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Software Engineering and Methodology Pub Date : 2024-01-31 DOI:10.1145/3643673
Emre Sülün, Metehan Saçakçı, Eray Tüzün
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Abstract

GitHub Issues is a widely used issue tracking tool in open-source software projects. Originally designed with broad flexibility, its lack of standardization led to incomplete issue reports, impeding software development and maintenance efficiency. To counteract this, GitHub introduced issue templates in 2016, which rapidly became popular. Our study assesses the current use and evolution of these templates in large-scale open-source projects and their impact on issue tracking metrics, including resolution time, number of reopens, and number of issue comments. Employing a comprehensive analysis of 350 templates from 100 projects, we also evaluated over 1.9 million issues for template conformity and impact. Additionally, we solicited insights from open-source software maintainers through a survey. Our findings highlight issue templates’ extensive usage in 99 of the 100 surveyed projects, with a growing preference for YAML-based templates, a more structured template variant. Projects with a template exhibited markedly reduced resolution time (381.02 days to 103.18 days) and reduced issue comment count (4.95 to 4.32) compared to those without. The use of YAML-based templates further significantly decreased resolution time, the number of reopenings, and the discussion extent. Thus, our research underscores issue templates’ positive impact on large-scale open-source projects, offering recommendations for improved effectiveness.

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对 GitHub 上大型项目中问题模板使用情况的实证分析
GitHub Issues 是开源软件项目中广泛使用的问题跟踪工具。它最初的设计具有广泛的灵活性,但由于缺乏标准化,导致问题报告不完整,影响了软件开发和维护效率。为了解决这一问题,GitHub 于 2016 年推出了问题模板,并迅速流行起来。我们的研究评估了这些模板目前在大型开源项目中的使用和演变情况,以及它们对问题跟踪指标的影响,包括解决时间、重开次数和问题评论数量。我们对来自 100 个项目的 350 个模板进行了全面分析,并对超过 190 万个问题进行了模板一致性和影响评估。此外,我们还通过调查征求了开源软件维护者的意见。我们的研究结果表明,在接受调查的 100 个项目中,有 99 个项目广泛使用了问题模板,而且越来越多的项目倾向于使用基于 YAML 的模板,这是一种结构性更强的模板变体。与没有模板的项目相比,使用模板的项目明显缩短了解决问题的时间(从 381.02 天缩短到 103.18 天),并减少了问题注释数(从 4.95 条减少到 4.32 条)。使用基于 YAML 的模板进一步显著减少了解决问题的时间、重新开放的次数和讨论的范围。因此,我们的研究强调了问题模板对大型开源项目的积极影响,并提出了提高效率的建议。
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来源期刊
ACM Transactions on Software Engineering and Methodology
ACM Transactions on Software Engineering and Methodology 工程技术-计算机:软件工程
CiteScore
6.30
自引率
4.50%
发文量
164
审稿时长
>12 weeks
期刊介绍: Designing and building a large, complex software system is a tremendous challenge. ACM Transactions on Software Engineering and Methodology (TOSEM) publishes papers on all aspects of that challenge: specification, design, development and maintenance. It covers tools and methodologies, languages, data structures, and algorithms. TOSEM also reports on successful efforts, noting practical lessons that can be scaled and transferred to other projects, and often looks at applications of innovative technologies. The tone is scholarly but readable; the content is worthy of study; the presentation is effective.
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