6 citations · 29 across the 51 of their papers we have counts for
57 papers
Extending LLM-based support for software engineers with ADHD
Aarsh Shah, Ronnie de Souza Santos, Italo Santos +2
Software engineering workflows are often not designed to accommodate the needs of developers with Attention Deficit Hyperactivity Disorder (ADHD), despite known challenges related…
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…
Software Project Management with LLM-Based Automation: Coordination, Validation, and Governance in Practice
Ronnie de Souza Santos, Cleyton Magalhaes, Italo Santos
As software engineering has evolved, development environments have increasingly integrated automated support for tasks such as testing, analysis, and code generation, requiring pro…
How Does LGBTQIA+ Identity Affect LLM Behavior? Implications for Requirements Engineering of Mental Health AI Systems
Shailyn Callihoo, Karman Singh, Navreet Dhillon +3
Large Language Models are now part of healthcare and mental health support systems, raising concerns regarding fairness toward vulnerable populations, including LGBTQIA+ individual…
Understanding LLM Usage Among Early-Career Software Engineers in Practice
Julia Alencar, Ronnie de Souza Santos, Italo Santos +2
Despite the rapid adoption of Large Language Models in professional software engineering, limited research has investigated how early career professionals develop effective AI assi…
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…
GUEST: Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews
Barbara Kitchenham, Sebastián Pizard, Lech Madeyski +3
Context: Generative AI (GenAI) and Large Language Models (LLMs) are increasingly used for academic tasks in software engineering and beyond, including systematic literature reviews…
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…
What Does It Take to Research with AI? A Rapid Review of Competencies to Train LLM-Literate Researchers
Danilo Monteiro Ribeiro, Ronnie de Souza Santos, Rodrigo Siqueira +5
The growing adoption of Large Language Models in scientific research has created a need to understand what competencies researchers and graduate students require to use these tools…
SLRMentor: An LLM-Based Tool Supporting Learning of SLR in Software Engineering
Rodolfo Gil-Pereira, Ronnie de Souza Santos, Cleyton Magalahes +1
This paper presents SLRMentor, a conversational assistant designed to support both learning about the systematic literature review process and the execution of planning activities…
Academic Integrity and Emotional Responses to Inappropriate LLM Use in Software Engineering Education
Ronnie de Souza Santos, Italo Santos, Giuseppe Destefanis +2
Academic integrity in higher education is increasingly shaped by complex socio-technical environments marked by automated tools, evolving institutional practices, and heightened pe…
How Software Engineering Students Use LLMs to Write Research Papers: An Experience Report
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalhaes +1
Large language models are increasingly becoming part of software engineering education, including activities involving empirical software engineering and evidence synthesis. This p…
Fairness Definitions and Metrics in Deep Reinforcement Learning for Drug Discovery in Healthcare: A Rapid Evidence Review
Esmaeil Shakeri, Ronnie de Souza Santos, Behrouz Far
Deep reinforcement learning (DRL) is increasingly applied to de novo molecular design, but choices in data, rewards, and evaluation can yield uneven performance across disease area…
Comparing Smart Contract Paradigms: A Preliminary Study of Security and Developer Experience
Matteo Vaccargiu, Andrea Pinna, Maria Ilaria Lunesu +1
Smart contract vulnerabilities have caused billions in financial losses, raising questions about whether programming language paradigms can reduce security overhead. While imperati…
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…
Teaching Empathy in Software Engineering Education in the Age of Artificial Intelligence
Ronnie de Souza Santos, Cleyton Magalhães, Giuseppe Destefanis +5
Empathy has been discussed as a relevant human capability in software engineering, particularly in activities that require understanding users, stakeholders, and the societal impli…
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…
Fairness Across Fields: Comparing Software Engineering and Human Sciences Perspectives
Lucas Valenca, Ronnie de Souza Santos
Background. As digital technologies increasingly shape social domains such as healthcare, public safety, entertainment, and education, software engineering has engaged with ethical…
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…