切换到快速发布周期对已解决问题的集成延迟的影响-对Mozilla Firefox项目的实证研究

D. A. D. Costa, Shane McIntosh, U. Kulesza, A. Hassan
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引用次数: 27

摘要

近年来,软件项目的发布频率有所增加。所谓快速发布周期的采用者声称,他们可以更快地向用户交付已解决的问题(例如,bug、增强和新特性)。然而,几乎没有经验证据支持这些说法。事实上,在我们之前的工作中,我们发现代码集成阶段可能会给快速发布的软件带来延迟——在快速发布的Firefox项目中,98%的已解决问题的集成至少延迟了一个版本。为了更好地理解快速发布周期对已解决问题的集成延迟的影响,我们对传统发布周期和快速发布周期进行了比较研究。通过对来自Firefox系统的72,114个问题报告的实证研究,我们发现,令人惊讶的是,在快速发布的Firefox中集成已解决的问题要比传统版本多花50天的时间。为了研究在传统和快速发布周期中与集成延迟相关的因素,我们训练回归模型来解释所处理的问题是否会有集成延迟。我们的解释模型具有良好的判别性(ROC面积为0.81-0.83)和校准分数(Brier分数为0.05-0.16)。对我们的解释模型进行更深入的分析表明,传统版本优先考虑待办事项的集成,而快速版本优先考虑在当前发布周期中解决的问题。我们的结果表明,快速发布周期可能不是快速向用户交付已解决问题的灵丹妙药。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Switching to a Rapid Release Cycle on the Integration Delay of Addressed Issues - An Empirical Study of the Mozilla Firefox Project
The release frequency of software projects has increased in recent years. Adopters of so-called rapid release cycles claim that they can deliver addressed issues (i.e., bugs, enhancements, and new features) to users more quickly. However, there is little empirical evidence to support these claims. In fact, in our prior work, we found that code integration phases may introduce delays in rapidly releasing software - 98% of addressed issues in the rapidly releasing Firefox project had their integration delayed by at least one release. To better understand the impact that rapid release cycles have on the integration delay of addressed issues, we perform a comparative study of traditional and rapid release cycles. Through an empirical study of 72,114 issue reports from the Firefox system, we observe that, surprisingly, addressed issues take a median of 50 days longer to be integrated in rapid Firefox releases than the traditional ones. To investigate the factors that are related to integration delay in traditional and rapid release cycles, we train regression models that explain if an addressed issue will have its integration delayed or not. Our explanatory models achieve good discrimination (ROC areas of 0.81-0.83) and calibration scores (Brier scores of 0.05-0.16). Deeper analysis of our explanatory models indicates that traditional releases prioritize the integration of backlog issues, while rapid releases prioritize issues that were addressed during the current release cycle. Our results suggest that rapid release cycles may not be a silver bullet for the rapid delivery of addressed issues to users.
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