面向开源软件项目的基于能力的管理
Towards Competence-Based Management for Open Source Software Projects
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中文总结 AI 辅助
针对开源软件项目核心贡献者脱离问题，通过收集代码指标评估贡献者能力并提出能力模型以预测任务所需能力水平，为项目识别培训替代核心贡献者的候选人。
中文摘要 AI 辅助
开源软件（OSS）项目的贡献者对维持社区和项目的健康至关重要。然而，经历核心贡献者脱离的项目数量已增加到危及项目生存的程度。由于多种因素，寻找新贡献者替代人力既具挑战性又耗时，其中包括缺乏关于潜在候选人能力的精确知识，而这些能力可能需要通过面试和考试来确认。先前的研究提供了关于贡献者能力的指示，但在理解能力水平方面缺乏深度，这可能导致对贡献者能力的了解不足。为解决这一差距，我们通过从贡献中收集与源代码相关的代码指标来评估贡献者的能力。我们还提出了一种能力模型，该模型能够预测解决任务所需的能力水平。通过适当评估贡献者的能力，我们可以识别并培训候选人以替代核心贡献者。我们的复现包（包括代码、数据和文档）可在此 https URL 获取。
英文摘要
Contributors to Open Source Software (OSS) projects are vital to maintaining the health of both communities and projects. However, the number of projects experiencing core contributors' disengagement has increased to the point that it risks the projects' survival. Finding new contributors to replace the workforce is challenging and time-intensive due to several factors, including a lack of precise knowledge about potential candidates' competences, which may need to be confirmed through interviews and exams. Previous studies provided indications of the contributor's competences, although they lack depth in understanding competence levels, which can result in poor knowledge about the contributor's capabilities. To address this gap, we assess contributors' competence by collecting code metrics related to source code from contributions. We also propose a competence model able to predict the competence level required to solve tasks. By properly assessing contributors' competences, we can identify and train candidates to replace core contributors. Our replication package, including code, data, and documentation, is available at https://doi.org/10.5281/zenodo.21605122
