4 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
A Large-Scale Empirical Study of Quality Assurance Practices and Gaps in AI Agents
Wuyang Dai, Moses Openja, Jiho Shin +2
Large language model (LLM)-based agents are increasingly used across software engineering, web automation, research, and productivity applications. Their integration of planning, m…
Adversarial Testing of Automated Program Repair Agents for Security Vulnerabilities
Fares Trad, Simin Chen, Hung Viet Pham +2
Software agents with Large Language Models (LLMs) are designed for Automated Program Repair (APR) tasks, raising the possibility that, in the near future, APR agents will fix bugs…
ABTest: Behavior-Driven Testing for AI Coding Agents
Wuyang Dai, Moses Openja, Hung Viet Pham +3
AI coding agents are increasingly integrated into real-world software development workflows, yet their robustness under diverse and adversarial scenarios remains poorly understood.…
Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI
Ruixin Zhang, Wuyang Dai, Hung Viet Pham +3
The rapid integration of Large Language Models (LLMs) into software development workflows has given rise to a new class of AI-assisted coding tools, such as Claude-Code, Codex, and…