Hugo Villamizar

According to our database, Hugo Villamizar authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach.

Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez

J. Syst. Softw., 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

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

On the Interaction Between Software Engineers and Data Scientists When Building Machine Learning-Enabled Systems.

Gabriel Busquim, Hugo Villamizar, Maria Julia de Lima, Marcos Kalinowski

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

Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding.

Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes

Proceedings of the IEEE/ACM 3rd International Conference on AI 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

2022

A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems.

Hugo Villamizar, Marcos Kalinowski, Hélio Lopes

Proceedings of the Anais do WER22, 2022

Towards Perspective-Based Specification of Machine Learning-Enabled Systems.

Hugo Villamizar, Marcos Kalinowski, Hélio Lopes

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021

Materials: Requirements Engineering for Machine Learning: A Systematic Mapping Study.

Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski

Dataset, April, 2021

Lessons Learned from a Lean R&D Project.

Bianca Rodrigues Teixeira, Bruna Ferreira, André Luiz Brandão de Damasceno, Simone D. J. Barbosa, Cassia Novello, Hugo Villamizar, Marcos Kalinowski, Thuener Silva, Jacques Chueke, Hélio Lopes, André Kuramoto, Bruno Itagyba, Cristiane Salgado, Sidney Comandulli, Marinho Fischer, Leonardo Fialho

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Requirements Engineering for Machine Learning: A Systematic Mapping Study.

Hugo Villamizar, Tatiana Escovedo, Marcos Kalinowski

Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020

An efficient approach for reviewing security-related aspects in agile requirements specifications of web applications.

Hugo Villamizar, Marcos Kalinowski, Alessandro F. Garcia, Daniel Méndez

Requir. Eng., 2020

Lean R&D: An Agile Research and Development Approach for Digital Transformation.

Marcos Kalinowski, Hélio Lopes, Alex Furtado Teixeira, Gabriel da Silva Cardoso, André Kuramoto, Bruno Itagyba, Solon Tarso Batista, Juliana Alves Pereira, Thuener Silva, Jorge Alam Warrak, Marcelo Silva da Costa, Marinho Fischer, Cristiane Salgado, Bianca Rodrigues Teixeira, Jacques Chueke, Bruna Ferreira, Rodrigo Lima, Hugo Villamizar, André Brandão, Simone D. J. Barbosa, Marcus Poggi, Carlos Pelizaro, Deborah Lemes, Marcus Waltemberg, Odnei Lopes, Willer Goulart

Proceedings of the Product-Focused Software Process Improvement, 2020

Towards Lean R&D: An Agile Research and Development Approach for Digital Transformation.

Marcos Kalinowski, Solon Tarso Batista, Hélio Lopes, Simone D. J. Barbosa, Marcus Poggi, Thuener Silva, Hugo Villamizar, Jacques Chueke, Bianca Rodrigues Teixeira, Juliana Alves Pereira, Bruna Ferreira, Rodrigo Lima, Gabriel da Silva Cardoso, Alex Furtado Teixeira, Jorge Alam Warrak, Marinho Fischer, André Kuramoto, Bruno Itagyba, Cristiane Salgado, Carlos Pelizaro, Deborah Lemes, Marcelo Silva da Costa, Marcus Waltemberg, Odnei Lopes

Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

2019

An Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications.

Hugo Villamizar, Amadeu Anderlin Neto, Marcos Kalinowski, Alessandro Garcia, Daniel Méndez

Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

2018

A Systematic Mapping Study on Security in Agile Requirements Engineering.

Hugo Villamizar, Marcos Kalinowski, Marx L. Viana, Daniel Méndez Fernández

Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications, 2018