5 papers
Large Language Models for Requirements Engineering: A Cross-Task Empirical Evaluation
Jacek Dąbrowski, Manjeshwar Aniruddh Mallya, Alessio Ferrari +2
Requirements-related information is scattered across heterogeneous artefacts such as user feedback, developer discussions, and software repositories, making the extraction of actio…
RITA: A Tool for Automated Requirements Classification and Specification from Online User Feedback
Manjeshwar Aniruddh Mallya, Alessio Ferrari, Mohammad Amin Zadenoori +1
Context and motivation. Online user feedback is a valuable resource for requirements engineering, but its volume and noise make analysis difficult. Existing tools support individua…
From Online User Feedback to Requirements: Evaluating Large Language Models for Classification and Specification Tasks
Manjeshwar Aniruddh Mallya, Alessio Ferrari, Mohammad Amin Zadenoori +1
[Context and Motivation] Online user feedback provides valuable information to support requirements engineering (RE). However, analyzing online user feedback is challenging due to…
Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification
Mohammad Amin Zadenoori, Vincenzo De Martino, Jacek Dabrowski +2
[Context and motivation] Large language models (LLMs) show notable results in natural language processing (NLP) tasks for requirements engineering (RE). However, their use is compr…
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…