3 papers
cs.SE2026
BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification
Mohammad Amin Zadenoori, Waad Alhoshan, Jacek DÄ browski +2
Large language models (LLMs) are increasingly applied to requirements engineering (RE) tasks, yet the prompts guiding them are typically designed manually through trial and error,…
cs.SE2025
Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review
Mohammad Amin Zadenoori, Jacek DÄ browski, Waad Alhoshan +2
Large Language Models (LLMs) are finding applications in numerous domains, and Requirements Engineering (RE) is increasingly benefiting from their capabilities to assist with compl…
cs.CL2025
How Effective are Generative Large Language Models in Performing Requirements Classification?
Waad Alhoshan, Alessio Ferrari, Liping Zhao
In recent years, transformer-based large language models (LLMs) have revolutionised natural language processing (NLP), with generative models opening new possibilities for tasks th…