Fairness is increasingly recognised as a first-class requirement in socio-technical processes, where interactions among human actors, software systems, and AI technologies may lead to unfair outcomes in decision-making workflows. If left unaddressed, fairness hazards may accumulate and reinforce systemic bias, highligh...
Giovanna Broccia, L. Lelii, Roberto Cirillo et al.· 0 citations
TARS is an LLM-powered agent integrated into Visual Studio Code that supports program comprehension through autonomous explanations anchored directly to the code under analysis, built around a lightweight Theory of Mind paradigm.
Leopoldo Todisco, Antonio Della Porta, Stefano Lambiase et al.· arXiv.org· 0 citations
This work systematically generates syntactic variants of security-relevant code generation prompts and evaluates their impact on code security across multiple open LLMs and programming languages, identifying prompt syntax as a concrete security control surface and providing actionable guidance for reducing vulnerabilit...
Matteo Cicalese, Antonio Della Porta, Stefano Lambiase et al.· arXiv.org· 0 citations
A large-scale mining study combining repositories with ACFs and agent-generated commits is conducted, reconstructing ACF evolution at the commit level, classify changes using a qualitative approach, and analyze their association with code quality metrics.
Gianmario Voria, Alfonso Cannavale, A. Lucia et al.· arXiv.org· 0 citations
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