4 papers · 1 filter
Agent-Callable Feature Coverage: Measuring Software Readiness for AI Agents
Zedong Peng
AI agents already operate graphical software through screenshot-based computer use, so the pressing question is not whether agents can operate software, but how well software suppo…
When Post-Anchor Metrics Fail: Stabilization Regimes in AI-Evidence Open-Source Projects
Hudson Craig, Benjamin Barlog, Chenggang Wang +2
Repository mining studies increasingly analyze AI-evidence projects, yet it remains unclear how to measure whether architectural changes create deferred stabilization obligations.…
Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
Jianru Shen, Zedong Peng, Lucy Owen
Large language models (LLMs) show promise for automating software development by translating requirements into code. However, even advanced prompting workflows like progressive pro…
Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities
Victor Wen, Zedong Peng
Automated detection of software vulnerabilities remains a critical challenge in software security. Log4j is an industrial-grade Java logging framework listed as one of the top 100…