7 citations · 9 across the 9 of their papers we have counts for
9 papers
Predicting LLM Performance from Prompt Linguistic Features: An Empirical Study in Requirements Engineering
Quim Motger, Alessio Miaschi, Xavier Franch +2
Background. LLM outputs are highly sensitive to prompt formulation: small wording changes can substantially affect output quality. This matters in software engineering, where promp…
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…
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,…
CudaMon: An R Package to Monitor NVIDIA GPUs, Showcased by Monitoring a GPU-accelerated Single-cell Analysis Workflow in R
Mohammad Amin Zadenoori, Riccardo Ceccaroni, Gabriele Sales +1
NVIDIA GPUs have recently started to be used in computational biology, yet R users lack integrated GPU monitoring tools, forcing reliance on external utilities like nvidia-smi. We…
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…