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cs.SE2026
Using Agentic AI for contextualized and multifaceted code review at Ericsson
Muhammad Laiq, Ricardo Britto, Muhammad Usman +2
Context: Conducting effective code reviews is increasingly challenging due to the growing complexity of software systems and the accelerated code generation by AI coding agents. LL…
cs.SE2026
A comparative analysis of automated techniques for security bug report identification
Muhammad Laiq
Timely identification of security-related bug reports is essential to minimize the window of vulnerabilities in software systems. Manually screening incoming bug reports to identif…
cs.SE2026
Few-shot learning for security bug report identification
Muhammad Laiq
Security bug reports require prompt identification to minimize the window of vulnerability in software systems. Traditional machine learning (ML) techniques for classifying bug rep…