From the 1 of 5 linked papers with an AI index.
5 papers
A comparative analysis of automated techniques for security bug report identification
Muhammad Laiq
The paper compares various automated methods, including traditional machine‑learning models and large language models, for identifying security‑related bug reports, finding that th…
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…