1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.SE2025
Crash Report Enhancement with Large Language Models: An Empirical Study
S M Farah Al Fahim, Md Nakhla Rafi, Zeyang Ma +3
Crash reports are central to software maintenance, yet many lack the diagnostic detail developers need to debug efficiently. We examine whether large language models can enhance cr…
cs.SE2024★ 1 cited
Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures
Yi Wen Heng, Zeyang Ma, Haoxiang Zhang +3
Reusing third-party libraries increases productivity and saves time and costs for developers. However, the downside is the presence of vulnerabilities in those libraries, which can…
cs.SE2024
Studying and Benchmarking Large Language Models For Log Level Suggestion
Yi Wen Heng, Zeyang Ma, Zhenhao Li +3
Large Language Models (LLMs) have become a focal point of research across various domains, including software engineering, where their capabilities are increasingly leveraged. Rece…