11 papers
Practitioner Insights on Fairness Requirements in the AI Development Life Cycle: An Interview Study
Chaima Boufaied, Thanh Nguyen, Ronnie de Souza Santos
Nowadays, Artificial Intelligence (AI), particularly Machine Learning (ML) and Large Language Models (LLMs), is widely applied across various contexts. However, the corresponding m…
Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review
Corey Yang-Smith, Ronnie de Souza Santos, Ahmad Abdellatif
Transformer-based large language models (LLMs) and multi-agent systems (MAS) are increasingly embedded across the software development lifecycle (SDLC), yet their fairness implicat…
Sustainable AI Assistance Through Digital Sobriety
Madeline Jennings, Novarun Deb, Ronnie de Souza Santos
As AI assistants become commonplace in daily life, the demand for solutions that reduce the cost of inference without sacrificing utility is increasing. Existing work on AI sustain…
LLM Use, Cheating, and Academic Integrity in Software Engineering Education
Ronnie de Souza Santos, Italo Santos, Mariana Bento +3
Background: Cheating in university education is commonly described as context dependent and influenced by assessment design, institutional norms, and student interpretation. In sof…
Team Diversity Promotes Software Fairness: An Experiment on Fairness-Aware Requirements Prioritization
Cleyton Magalhes, Ronnie de Souza Santos, Bimpe Ayoola +2
\textbf{Background:} Fairness and diversity are receiving growing attention in software engineering, particularly as AI and machine learning systems increasingly influence decision…
Regression Testing in Remote and Hybrid Software Teams: An Exploratory Study of Processes, Tools, and Practices
Juliane Pascoal, Cleytton Magalhaes, Ronnie de Souza Santos
Remote and hybrid work have transformed how software development teams organize, communicate, and assure quality. This study investigates how regression testing is performed and ex…