Kelly Azevedo

According to our database, Kelly Azevedo authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A multivocal literature review on the benefits and limitations of industry-leading AutoML tools.

Luigi Quaranta, Kelly Azevedo, Fabio Calefato, Marcos Kalinowski

Inf. Softw. Technol., 2025

2024

Artifacts: A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools.

Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski

Dataset, January, 2024

Artifacts: A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools.

Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski

Dataset, January, 2024

Naming the Pain in Machine Learning-Enabled Systems Engineering.

Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Hélio Lopes, Maria Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek

CoRR, 2024

A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools.

Kelly Azevedo, Luigi Quaranta, Fabio Calefato, Marcos Kalinowski

CoRR, 2024

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.

Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek

Proceedings of the Software Quality as a Foundation for Security, 2024

Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil.

Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes

Proceedings of the 38th Brazilian Symposium on Software Engineering, 2024

2023

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems.

Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek

Dataset, November, 2023

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey.

Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek

Proceedings of the Product-Focused Software Process Improvement, 2023