1 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Decoupling Code Complexity from Newcomer Participation: A Causal Study of AI Coding Agent Adoption in OSS
Weiwei Xu, Xuanning Cui, Hengzhi Ye +1
Open-source projects depend on a steady inflow of newcomers. A growing concern is that AI coding agents (tools such as Cursor and Claude Code that write code from natural-language…
A governance horizon for ethical-use constraints in open-weight AI models
Weiwei Xu, Hengzhi Ye, Haoran Ye +3
Ethical constraints on open-weight AI models are both a reflection of societal concerns and a foundation for AI governance policy. They are expected to propagate to downstream deri…
Characterizing Readability Issue Patterns and the Role of Prompt Design in LLM-Generated Code
Hengzhi Ye, Fengyuan Ran, Weiwei Xu +1
Large Language Models (LLMs) are increasingly changing how code is produced, but generated code still requires human review and validation before it can be adapted or integrated in…
The First Issue Matters: Linking Task-Level Characteristics to Long-Term Newcomer Retention in OSS
Yichen Hao, Weiwei Xu, Kai Gao +1
Sustaining newcomer participation is critical for the long-term health of open-source communities. Although prior research has explored various task recommendation approaches to he…