19 papers
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…
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…
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 DÃaz-Muñoz, José A. Cruz-Lemus, Moisés RodrÃguez +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…
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…