4 citations · 9 across the 28 of their papers we have counts for
32 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…
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…
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…
The role of team diversity in AI systems development
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalhaes
The widespread integration of AI technologies has intensified concerns about fairness and bias, as these systems often perpetuate societal inequalities through flawed data and desi…
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…
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…
Bita: A Conversational Assistant for Fairness Testing
Keeryn Johnson, Cleyton Magalhaes, Ronnie de Souza Santos
Bias in AI systems can lead to unfair and discriminatory outcomes, especially when left untested before deployment. Although fairness testing aims to identify and mitigate such bia…
Software Testing with Large Language Models: An Interview Study with Practitioners
Maria Deolinda Santana, Cleyton Magalhaes, Ronnie de Souza Santos
\textit{Background:} The use of large language models in software testing is growing fast as they support numerous tasks, from test case generation to automation, and documentation…
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…
Tether: A Personalized Support Assistant for Software Engineers with ADHD
Aarsh Shah, Cleyton Magalhaes, Kiev Gama +1
Equity, diversity, and inclusion in software engineering often overlook neurodiversity, particularly the experiences of developers with Attention Deficit Hyperactivity Disorder (AD…
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…
Software Fairness Testing in Practice
Ronnie de Souza Santos, Matheus de Morais Leca, Reydne Santos +1
Software testing ensures that a system functions correctly, meets specified requirements, and maintains high quality. As artificial intelligence and machine learning (ML) technolog…
A Delphi Study on the Adaptation of SCRUM Practices to Remote Work
Cleyton Magalhaes, Fernando Padoan, Robson Santos +1
This study explores how Scrum practices were adjusted for remote and hybrid work during and after the COVID-19 pandemic, using a Delphi study with Scrum Masters to gather expert in…