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P2 Assisting the elite-driven open source development through activity data

通过活动数据辅助精英驱动的开源开发
FSE Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering2020匹配度 1/10 · 论文聚焦开源精英开发者的活动数据分析和工具支持,属于经验软件工程与开发者行为分析领域,与用户关注的静态分析、LLM/Agent、浮点程序分析、贝叶斯程序分析等核心方向无直接关联。引用 0 inbox
Zhendong Wang
crossref: 2026-09-12

AI 速览

一句话:提出基于GitHub细粒度事件数据的分析框架,刻画开源精英开发者活动,并拟构建工具支持决策与自动化。

论文关注拥有管理权限、驱动开源软件发展的精英开发者。作者提出一种利用GitHub细粒度事件数据研究开发者公共活动的新方法,并将其发展为收集、建模和分析精英开发者在线贡献活动的分析框架。基于该框架,作者在多个开源项目与生态中开展实证研究,刻画精英开发者的全谱系活动及其动态,并揭示其精力分配与项目技术成果之间的关系。最后,论文提出基于该框架和现有结果设计实现工具集,以支持个体开发者决策并借助自动化辅助日常工作流。

问题
如何理解并支持精英开发者在开源项目中的贡献活动,尤其是其全谱系活动、动态以及精力分配与项目技术成果的关系。
方法
基于GitHub提供的细粒度事件数据,构建用于收集、建模和分析精英开发者在线贡献活动的分析框架,并据此开展实证研究。
评估
在多个开源项目与生态上进行实证分析,刻画活动与动态并揭示精力分配和技术成果的关系;工具集为拟议设计,摘要未报告其评估。
原文摘要(Abstract)

Elite developers, who own the administrative privileges for a project, maintain a diverse profile of contributing activities, and drive the development of open source software (OSS). To advance our understanding and further support the OSS community, I present a fresh approach to investigate developers’ public activities from the fine-grained event data provided by GitHub. Further, I develop this approach into an analysis framework for collecting, modeling, and analyzing elite developers’ online contributing activities. Employing this framework, I have conducted empirical studies on various OSS projects and ecosystems to characterize elite developers’ full-spectrum activities and their dynamics, and also unveil relationships between their effort allocation and projects’ technical outcomes. Finally, I propose to design and implement a toolset based on this framework and my results to date, which supports individual developers’ decision-making and assists their routine workflows with automation.

链接与引用

DOI 原文 · PDF(开放获取) ·

BibTeX
@inproceedings{paperbot5824,
  title = {Assisting the elite-driven open source development through activity data},
  author = {Zhendong Wang},
  booktitle = {FSE},
  year = {2020},
  doi = {10.1145/3368089.3418541}
}