9 citations · 23 across the 11 of their papers we have counts for
5 papers · 1 filter
From Metrics to Improvement: A Lifecycle-Aware LLM Feedback Framework for Research Software Quality
Nafis Tanveer Islam, Nafiseh Soveizi, Yutong Li +1
Research software is increasingly central to scientific workflows, yet it is often developed by researchers with limited software engineering expertise. This can lead to quality is…
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
Ana Nunez, Nafis Tanveer Islam, Sumit Kumar Jha +1
Recent advancements in automatic code generation using large language models (LLMs) have brought us closer to fully automated secure software development. However, existing approac…
Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel +2
Software security remains a critical concern, particularly as junior developers, often lacking comprehensive knowledge of security practices, contribute to codebases. While there a…
LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
Nafis Tanveer Islam, Joseph Khoury, Andrew Seong +4
In software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot.…
Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph
Nafis Tanveer Islam, Gonzalo De La Torre Parra, Dylan Manual +2
Open Source Software (OSS) security and resilience are worldwide phenomena hampering economic and technological innovation. OSS vulnerabilities can cause unauthorized access, data…