6 papers
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…
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…
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…
Large language models for behavioral modeling: A literature survey
Muhammad Laiq
In recent years, large language models (LLMs) have been extensively utilized for behavioral modeling, for example, to automatically generate sequence diagrams. However, no overview…
Automatic techniques for issue report classification: A systematic mapping study
Muhammad Laiq, Felix Dobslaw
Several studies have evaluated automatic techniques for classifying software issue reports to assist practitioners in effectively assigning relevant resources based on the type of…
Software analytics for software engineering: A tertiary review
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler +1
Software analytics (SA) is frequently proposed as a tool to support practitioners in software engineering (SE) tasks. We have observed that several secondary studies on SA have bee…