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20192026
most citedIllicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information

18 citations · 43 across the 19 of their papers we have counts for

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Showing cs.SEShow all

17 papers · 1 filter

cs.SE2026

When AI Joins the Team! A Model of How AI Adoption Relates To Social Patterns in Software Engineering Teams

Giusy Annunziata, Rudrajit Choudhuri, Anita Sarma +2

Context: The growing adoption of AI-assisted development tools is changing how software teams collaborate, share knowledge, and coordinate, yet its consequences for team social dyn…

cs.SE2026

How Do Developers Maintain and Evolve Their Agents' Instructions? An Empirical Study

Gianmario Voria, Alfonso Cannavale, Andrea De Lucia +3

Context. Autonomous coding agents are increasingly used in software development, shifting parts of the engineering process to AI assistance. While this automation brings clear bene…

cs.SE2026

Bias Ahead: Sensitive Prompts as Early Warnings for Fairness in Large Language Models

Gianmario Voria, Martina De Lucia, Alessandra Raia +3

Large Language Models (LLMs) are being increasingly integrated into software systems, offering powerful capabilities but also raising concerns about fairness. Existing fairness ben…

cs.SE2026

SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs

Alessandra Parziale, Gianmario Voria, Valeria Pontillo +3

Large Language Models (LLMs) now serve as the foundation for a wide range of applications, from conversational assistants to decision support tools, making the issue of fairness in…

cs.SE2026

Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models

Gianmario Voria, Moses Openja, Foutse Khomh +2

The advent of transformer-based language models has reshaped how AI systems process and generate text. In software engineering (SE), these models now support diverse activities, ac…

cs.SE2026

Once Upon a Team: Investigating Bias in LLM-Driven Software Team Composition and Task Allocation

Alessandra Parziale, Gianmario Voria, Valeria Pontillo +4

LLMs are increasingly used to boost productivity and support software engineering tasks. However, when applied to socially sensitive decisions such as team composition and task all…