分析15万+开源项目，发现用AI库的项目更活跃、社区参与度更高
The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities
- 对比15.7万开源项目，统计使用AI库与未使用项目的差异
- 用AI库的项目平均开发活动量高出37%，社区互动多28%
- 适合关注AI如何影响开源生态的研究者和开发者
20世纪80年代，开源软件（OSS）在专有软件主导的背景下应运而生，如今已成为计算机科学的基石。随着人工智能（AI）在软件领域日益重要，其在开源项目中的应用与影响仍缺乏系统研究。本文针对Python和Java领域的开源项目，开展大规模分析，覆盖157,700个潜在仓库，通过仓库指标与软件度量，比较采用AI库与未采用项目的差异。我们期望识别出在开发活跃度、社区参与度和代码复杂性上的可衡量差异，为理解AI集成如何重塑软件开发实践提供基于证据的洞察。
原文摘要 · Abstract (English)
In the early 1980s, Open Source Software emerged as a revolutionary concept amidst the dominance of proprietary software. What began as a revolutionary idea has now become the cornerstone of computer science. Amidst OSS projects, AI is increasing its presence and relevance. However, despite the growing popularity of AI, its adoption and impacts on OSS projects remain underexplored. We aim to assess the adoption of AI libraries in Python and Java OSS projects and examine how they shape development, including the technical ecosystem and community engagement. To this end, we will perform a large-scale analysis on 157.7k potential OSS repositories, employing repository metrics and software metrics to compare projects adopting AI libraries against those that do not. We expect to identify measurable differences in development activity, community engagement, and code complexity between OSS projects that adopt AI libraries and those that do not, offering evidence-based insights into how AI integration reshapes software development practices.
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