2 citations · 3 across the 20 of their papers we have counts for
23 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…
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…
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…
From Generic to Personalized: Exploring Persona-Aware Code Review Explanations
Shamse Tasnim Cynthia, Ratnadira Widyasari, Banani Roy +2
Code review is essential for ensuring software quality and supporting collaboration, yet prior work shows that developers can interpret code review comments differently. These diff…
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…
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…
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…
An Investigation on How AI-Generated Responses Affect SoftwareEngineering Surveys
Ronnie de Souza Santos, Italo Santos, Maria Teresa Baldassarre +2
Survey research is a fundamental empirical method in software engineering, enabling the systematic collection of data on professional practices, perceptions, and experiences. Howev…
Reconsidering Conversational Norms in LLM Chatbots for Sustainable AI
Ronnie de Souza Santos, Cleyton Magalhães, Italo Santos
LLM based chatbots have become central interfaces in technical, educational, and analytical domains, supporting tasks such as code reasoning, problem solving, and information explo…
Model-Assisted and Human-Guided: Perceptions and Practices of Software Professionals Using LLMs for Coding
Italo Santos, Cleyton Magalhaes, Ronnie de Souza Santos
Large Language Models have quickly become a central component of modern software development workflows, and software practitioners are increasingly integrating LLMs into various st…
Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems
Cleyton Magalhaes, Italo Santos, Brody Stuart-Verner +1
Background: Software systems powered by large language models are becoming a routine part of everyday technologies, supporting applications across a wide range of domains. In softw…
Hidden Figures in Software Engineering: A Replication Study Exploring Undergraduate Software Students' Awareness of Distinguished Scientists from Underrepresented Groups
Ronnie de Souza Santos, Italo Santos, Robson Santos +1
Technology is a cornerstone of modern life, yet the software engineering field struggles to reflect the diversity of contemporary society. This lack of diversity and inclusivity wi…
Diversity in Software Engineering Education: Exploring Motivations, Influences, and Role Models Among Undergraduate Students
Ronnie de Souza Santos, Italo Santos, Robson Santos +1
Software engineering (SE) faces significant diversity challenges in both academia and industry, with underrepresented students encountering hostile environments, limited representa…
Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing
Lucas Neves, Oscar Campos, Robson Santos +3
Testing is an essential quality activity in the software development process. Usually, a software system is tested on several levels, starting with unit testing that checks the sma…
Are We Testing or Being Tested? Exploring the Practical Applications of Large Language Models in Software Testing
Robson Santos, Italo Santos, Cleyton Magalhaes +1
A Large Language Model (LLM) represents a cutting-edge artificial intelligence model that generates coherent content, including grammatically precise sentences, human-like paragrap…