4 citations · 9 across the 27 of their papers we have counts for
29 papers
Technostress in the Age of AI: A Preliminary Study with Software Professionals
Ronnie de Souza Santos, Italo Santos, Cleyton Magalhaes +1
The rapid adoption and evolution of AI are changing software engineering work and requiring professionals to repeatedly adapt their knowledge, practices, and skills. Although techn…
Exploring Quantum Software Testing Across Research and Practice: Emerging Results from a Multivocal Literature Review
Rodolfo Gil-Pereira, Ronnie de Souza Santos, Cleyton Magalhaes +1
This paper presents preliminary findings from a multivocal literature review investigating how quantum software testing is characterized across academic and practitioner-oriented s…
Bias Smells in AI Software Development: Recognizing Potential Sources of Fairness Debt
Ronnie de Souza Santos, Cleyton Magalhaes, Rodrigo Spinola
Context: Fairness debt arises from AI development shortcomings that may lead to societal harms. While technical and social debt concern software design decisions and team dynamics,…
Exploring Dependence, Overreliance, and Addiction Related Behaviors Associated with Large Language Model Use Among Software Engineers
Ronnie de Souza Santos, Italo Santos, Matheus de Moraes Leça +2
The widespread adoption of Large Language Models (LLMs) has changed how software engineers perform everyday development activities. While these systems provide substantial support…
How Many Interviews Are Enough in a Software Engineering Study? Preliminary Findings on Sample Size and Saturation
Ronnie de Souza Santos, Italo Santos, Mauricio Rodrigues +1
Background. Interview based studies are widely used in empirical software engineering to investigate human, organizational, and socio technical phenomena, yet interview sample adeq…
The Influence of Fraudulent AI-Generated Responses on Software Engineering Surveys
Ronnie de Souza Santos, Italo Santos, Maria Teresa Baldassarre +2
Background: Large Language Models (LLMs) introduce new concerns regarding fraudulent or AI assisted participation in software engineering surveys. Aims: This study investigates how…