activity
20222026
most citedA Catalog of Fairness-Aware Practices in Machine Learning Engineering

6 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing cs.SEShow all

5 papers · 1 filter

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

Socio-Technical Well-Being of Quantum Software Communities: An Overview on Community Smells

Stefano Lambiase, Manuel De Stefano, Fabio Palomba +2

Quantum computing has gained significant attention due to its potential to solve computational problems beyond the capabilities of classical computers. With major corporations and…

cs.SE2024★ 6 cited

A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Gianmario Voria, Giulia Sellitto, Carmine Ferrara +5

Machine learning's widespread adoption in decision-making processes raises concerns about fairness, particularly regarding the treatment of sensitive features and potential discrim…

cs.SE2023★ 4 cited

The Quantum Frontier of Software Engineering: A Systematic Mapping Study

Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci +2

Context. Quantum computing is becoming a reality, and quantum software engineering (QSE) is emerging as a new discipline to enable developers to design and develop quantum programs…

cs.SE2022★ 1 cited

Toward Granular Automatic Unit Test Case Generation

Fabiano Pecorelli, Giovanni Grano, Fabio Palomba +2

Unit testing verifies the presence of faults in individual software components. Previous research has been targeting the automatic generation of unit tests through the adoption of…