activity
20182026
most citedThe Social Impact of Generative AI: An Analysis on ChatGPT

110 citations · 253 across the 41 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…