7 citations · 9 across the 4 of their papers we have counts for
4 papers
BT-APE: A Computationally Light Backtracking Approach to Automatic Prompt Engineering for Requirements Classification
Mohammad Amin Zadenoori, Waad Alhoshan, Jacek Dąbrowski +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,…
Enhancing Requirements Traceability Link Recovery: A Novel Approach with T-SimCSE
Ye Wang, Wenqing Wang, Kun Hu +2
Requirements traceability plays an important role in ensuring software quality and responding to changes in requirements. Requirements trace links (such as the links between requir…
Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review
Mohammad Amin Zadenoori, Jacek Dąbrowski, 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…
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…