[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.

翻译：[背景] 精确的时间估算是可预测软件工程的关键方面。先前研究表明，低源代码质量会增加问题解决时间的不确定性。[目标] 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个专有软件仓库并开展了一项观察性研究。利用CodeScene，我们测量了源代码质量以及与Jira问题关联的活跃开发时间。[结果] 大多数源代码变更由边际或优势代码所有者完成。此外，低质量源代码的大部分变更由所有权水平较低的开发者做出。在低质量源代码中，边际所有者进行小型变更需多花费45%的时间，大型变更则需多花费93%的时间。[结论] 集体代码所有权是一个流行目标，但行业实践导致了众多优势所有者和边际所有者。边际所有者在处理低质量源代码时尤其受限，从而导致生产力损失。在受技术债务困扰的代码库中，新入职的开发者将需要更多时间完成任务。