3 papers
cs.SE2024
Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study
Cristina Tavares, Nathalia Nascimento, Paulo Alencar +1
The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process…
cs.SE2024
On the Effectiveness of LLMs for Manual Test Verifications
Myron David Lucena Campos Peixoto, Davy de Medeiros Baia, Nathalia Nascimento +3
Background: Manual testing is vital for detecting issues missed by automated tests, but specifying accurate verifications is challenging. Aims: This study aims to explore the use o…
cs.CL2024
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study
Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento +2
Depression has affected millions of people worldwide and has become one of the most common mental disorders. Early mental disorder detection can reduce costs for public health agen…