37 citations · 58 across the 6 of their papers we have counts for
4 papers · 1 filter
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,…
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…
Zero-Shot Learning for Requirements Classification: An Exploratory Study
Waad Alhoshan, Alessio Ferrari, Liping Zhao
Context: Requirements engineering researchers have been experimenting with machine learning and deep learning approaches for a range of RE tasks, such as requirements classificatio…
Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study
Liping Zhao, Waad Alhoshan, Alessio Ferrari +4
Natural language processing supported requirements engineering is an area of research and development that seeks to apply NLP techniques, tools and resources to a variety of requir…