110 citations · 253 across the 41 of their papers we have counts for
40 papers · 1 filter
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…
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…
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…
Validation of an analyzability model for quantum software: a family of experiments
Ana Díaz-Muñoz, José A. Cruz-Lemus, Moisés Rodríguez +2
The analyzability of hybrid software, which integrates both classical and quantum components, is a key factor in ensuring its maintainability and industrial adoption. This article…
Constructive Patterns for Human-Centered Tech Hiring
Allysson Allex Araújo, Gabriel Vasconcelos, Marvin Wyrich +3
[Context] Online Recruitment and Selection (R&S) processes are often the first point of contact between early-career software engineers and the tech industry. Yet many candidates e…
Impostor Phenomenon as Human Debt: A Challenge to the Future of Software Engineering
Paloma Guenes, Rafael Tomaz, Maria Teresa Baldassarre +1
The Impostor Phenomenon (IP) impacts a significant portion of the Software Engineering workforce, yet it is often viewed primarily through an internal individual lens. In this posi…
Impacts of Generative AI on Agile Teams' Productivity: A Multi-Case Longitudinal Study
Rafael Tomaz, Paloma Guenes, Allysson Allex Araújo +2
Context: Generative Artificial Intelligence (GenAI) tools, such as GitHub Copilot and GPT tools, represent a paradigm shift in software engineering. While their impact is clear, mo…
Towards an OSF-based Registered Report Template for Software Engineering Controlled Experiments
Ana B. M. Bett, Thais S. Nepomuceno, Edson OliveiraJr +3
Context: The empirical software engineering (ESE) community has contributed to improving experimentation over the years. However, there is still a lack of rigor in describing contr…
A Quasi-Experimental Evaluation of Coaching to Mitigate the Impostor Phenomenon in Early-Career Software Engineers
Paloma Guenes, Joan Leite, Rafael Tomaz +4
Context: The Impostor Phenomenon (IP), the persistent belief of being a fraud despite evident competence, is common in Software Engineering (SE), where high expectations for expert…
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…
Towards AI Agents Supported Research Problem Formulation
Anrafel Fernandes Pereira, Maria Teresa Baldassarre, Daniel Mendez +1
Poorly formulated research problems can compromise the practical relevance of Software Engineering studies by not reflecting the complexities of industrial practice. This vision pa…
Attributes to Support the Formulation of Practically Relevant Research Problems in Software Engineering
Anrafel Fernandes Pereira, Maria Teresa Baldassarre, Daniel Mendez +9
[Background] A well-formulated research problem is essential for achieving practical relevance in Software Engineering (SE), yet there is a lack of structured guidance in this earl…
Industry Expectations and Skill Demands in Quantum Software Testing
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cesar França
Quantum software testing introduces new challenges that differ fundamentally from those in classical software engineering. Aims: This study investigates how the quantum software in…
Towards Lean Research Inception: Assessing Practical Relevance of Formulated Research Problems
Anrafel Fernandes Pereira, Marcos Kalinowski, Maria Teresa Baldassarre +3
[Context] The lack of practical relevance in many Software Engineering (SE) research contributions is often rooted in oversimplified views of industrial practice, weak industry con…
Who "Controls" Where Work Shall be Done? State-of-Practice in Post-Pandemic Remote Work Regulation
Darja Smite, Nils Brede Moe, Maria Teresa Baldassarre +8
The COVID-19 pandemic has permanently altered workplace structures, making remote work a widespread practice. While many employees advocate for flexibility, many employers reconsid…
Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?
Marcelo Costalonga, Bianca Minetto Napoleão, Maria Teresa Baldassarre +3
[Background] Systematic literature reviews (SLRs) are essential for synthesizing evidence in Software Engineering (SE), but keeping them up-to-date requires substantial effort. Stu…
Embracing Experiential Learning: Hackathons as an Educational Strategy for Shaping Soft Skills in Software Engineering
Allysson Allex Araújo, Marcos Kalinowski, Maria Teresa Baldassarre
In recent years, Software Engineering (SE) scholars and practitioners have emphasized the importance of integrating soft skills into SE education. However, teaching and learning so…
Impostor Phenomenon Among Software Engineers: Investigating Gender Differences and Well-Being
Paloma Guenes, Rafael Tomaz, Bianca Trinkenreich +3
Research shows that more than half of software professionals experience the Impostor Phenomenon (IP), with a notably higher prevalence among women compared to men. IP can lead to m…
From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption
Thanh Nguyen, Luiz Fernando de Lima, Maria Teresa Badassarre +1
In today's world, we need to ensure that AI systems are fair and unbiased. Our study looked at tools designed to test the fairness of software to see if they are practical and easy…
Preliminary Insights on Industry Practices for Addressing Fairness Debt
Ronnie de Souza Santos, Luiz Fernando de Lima, Maria Teresa Baldassarre +1
Context: This study explores how software professionals identify and address biases in AI systems within the software industry, focusing on practical knowledge and real-world appli…
Validation of an Analysability Model in Hybrid Quantum Software
Díaz-Muñoz Ana, Cruz-Lemus José A., Rodríguez Moisés +2
In the context of quantum-classical hybrid computing, evaluating analysability, which is the ease of understanding and modifying software, presents significant challenges due to th…
Naming the Pain in Machine Learning-Enabled Systems Engineering
Marcos Kalinowski, Daniel Mendez, Görkem Giray +12
Context: Machine learning (ML)-enabled systems are being increasingly adopted by companies aiming to enhance their products and operational processes. Objective: This paper aims to…
Guiding Principles for Using Mixed Methods Research in Software Engineering
Margaret-Anne Storey, Rashina Hoda, Alessandra Maciel Paz Milani +1
Mixed methods research is often used in software engineering, but researchers outside of the social or human sciences often lack experience when using these designs. This paper pro…
POLARIS: A framework to guide the development of Trustworthy AI systems
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski +1
In the ever-expanding landscape of Artificial Intelligence (AI), where innovation thrives and new products and services are continuously being delivered, ensuring that AI systems a…