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cs.SE2026

What Does It Take to Research with AI? A Rapid Review of Competencies to Train LLM-Literate Researchers

Danilo Monteiro Ribeiro, Ronnie de Souza Santos, Rodrigo Siqueira +5

The growing adoption of Large Language Models in scientific research has created a need to understand what competencies researchers and graduate students require to use these tools…

cs.SE2026

One Developer Is All You Need: A Case Study of an AI-Augmented One-Person Squad in a Brownfield Enterprise

Marcelo Vilas Boas, Gustavo Pinto, Edward Roberto Monteiro +2

AI tools are enabling engineers to absorb roles previously distributed across cross-functional squads, yet there is little structured evidence on how to design or evaluate such a o…

cs.SE2026

Beyond Accuracy: LLM Variability in Evidence Screening for Software Engineering SLRs

Gilberto Sussumu Hida, Danilo Monteiro Ribeiro, Erika Yahata

Context: Study screening in systematic literature reviews is costly, inconsistency-prone, and risk-asymmetric, since false negatives can compromise validity. Despite rapid uptake o…

cs.SE2026

It's Not About Whom You Train: An Analysis of Corporate Education in Software Engineering

Rodrigo Siqueira, Danilo Monteiro Ribeiro

Context: Corporate education is a strategic investment in the software industry, but little is known about how different professional profiles perceive these initiatives. Objective…

cs.SE2026

Corporate Training in Brazilian Software Engineering: A Quantitative Study of Professional Perceptions

Rodrigo Siqueira, Antonio Oliveira, Breno Alves Andrade +2

Context: Strategic corporate training is essential for the sustained professional development of software engineers. However, there is a knowledge gap regarding the factors that dr…

cs.SE2026

Useful Learning Experiences: A Qualitative Study of Corporate Training in Brazilian Software Engineering

Rodrigo Siqueira, Antonio Oliveira, Breno Alves de Andrade +2

Context: Quantitative studies can identify statistical predictors of training quality, but they often fail to capture what professionals themselves consider genuinely useful learni…