Large language models (LLMs) are increasingly studied for software vulnerability detection, but the benefits of recent reasoning-enabled (“thinking”) modes remain unclear. At the same time, agentic LLM designs aim to enhance analysis through structured collaboration, while practical software security workflows require...
Hua-Beng Tan, Ratnadira Widyasari, Merve Astekin et al.· Proceedings of the 41st IEEE...· 0 citations
Large language models (LLMs) are increasingly used in software engineering, including agentic systems that coordinate multiple agents, but impose higher computational and environmental costs. In this paper, we present a comprehensive empirical study of agentic LLM systems across five software engineering tasks: code ge...
Merve Astekin, Y. N. Tun, Arda Goknil et al.· 0 citations
ReCite, a three-stage approach to identify and repair stale references in code comments that appear to reference functions but for which no matching function can be found in the current codebase, and tracing the evolution history of each unresolved symbol through the Git history, is proposed.
Kexin Sun, Yunbo Lyu, Xu-Tong Ma et al.· Proceedings of the 41st IEEE...· 0 citations
The results suggest that LLMs can effectively bridge the gap between unstructured vulnerability reports and formal static analysis specifications, offering a scalable path toward comprehensive automated vulnerability detection.
I. Irsan, Ratnadira Widyasari, Hui-Hui Huang et al.· 0 citations
The first large-scale empirical study on the resolution of agent-generated code review comments is presented, revealing that the presence of an inline code suggestion is the strongest predictor of comment resolution, while lengthy and complex comments are less likely to be acted upon.
Shamse Tasnim Cynthia, Ratnadira Widyasari, Banani Roy et al.· arXiv.org· 0 citations
A vision for inclusive, human-centered AI-assisted code review systems that adapt feedback to developers' problem-solving preferences is outlined, highlighting the need to balance personalization with clarity and trust.
Shamse Tasnim Cynthia, Ratnadira Widyasari, Banani Roy et al.· 0 citations
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