U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code

Markus Borg, Adam Tornhill, Enys Mones
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引用次数: 1

Abstract

[Context] Accurate time estimation is a critical aspect of predictable software engineering. Previous work shows that low source code quality increases the uncertainty in issue resolution times. [Objective] Our goal is to evaluate how developers’ project experience and file ownership are related to issue resolution times. [Method] We mine 40 proprietary software repositories and conduct an observational study. Using CodeScene, we measure source code quality and active development time connected to Jira issues. [Results] Most source code changes are made by either a marginal or dominant code owner. Also, most changes to low-quality source code are made by developers with low levels of ownership. In low-quality source code, marginal owners need 45% more time for small changes, and 93% more time for large changes. [Conclusions] Collective code ownership is a popular target, but industry practice results in many dominant and marginal owners. Marginal owners are particularly hampered when working with low-quality source code, which leads to productivity losses. In codebases plagued by technical debt, newly onboarded developers will require more time to complete tasks.
U拥有变更的代码,以及边际所有者如何在低质量源代码中较慢地解决问题
准确的时间估计是可预测软件工程的一个关键方面。以前的工作表明,低源代码质量增加了问题解决时间的不确定性。我们的目标是评估开发者的项目经验和文件所有权与问题解决时间之间的关系。[方法]我们挖掘了40个专有软件库并进行了观察性研究。使用codescent,我们度量与Jira问题相关的源代码质量和活跃开发时间。[结果]大多数源代码更改是由边缘或主导代码所有者进行的。此外,对低质量源代码的大多数更改都是由所有权级别较低的开发人员进行的。在低质量的源代码中,边际所有者需要45%的时间来进行小的更改,93%的时间来进行大的更改。【结论】集体代码所有权是一个受欢迎的目标,但行业实践导致了许多主导和边缘所有者。当使用低质量的源代码时,边际所有者尤其受到阻碍,这会导致生产力损失。在受技术债务困扰的代码库中,新入职的开发人员将需要更多的时间来完成任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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