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Alessio Ferrari

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Preprint Sep 2026

ReqEvolve: User-Oriented Software Self-Evolution through Automatic Requirement Interpretation

The paradigm of software self-evolution enables systems to autonomously extend and reconfigure their own capabilities during execution in response to technical specifications. Yet requests for new functionality often originate from end users and are rarely expressed in technical terms. As a result, developers must tran...

M. Fahim, Alessio Ferrari · 0 citations
Preprint Aug 2026

Predicting LLM Performance from Prompt Linguistic Features: An Empirical Study in Requirements Engineering

Whether measurable linguistic properties of prompts can predict LLM performance before inference is investigated, enabling low-cost prompt selection and refinement, validated on binary requirements classification targeting F1, F2, precision, and recall.

Quim Motger, Alessio Miaschi, Xavier Franch et al. · 1 citation
Preprint Aug 2026

Large Language Models for Requirements Engineering: A Cross-Task Empirical Evaluation

This work presents the first cross-task empirical evaluation of LLMs spanning five RE-related activities, as well as replication materials supporting reproducibility, and a broader understanding of the capabilities, limitations, and practical readiness of current LLMs for RE.

Jacek Dabrowski, Manjeshwar Aniruddh Mallya, Alessio Ferrari et al. · 1 citation

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