15 citations · 18 across the 3 of their papers we have counts for
3 papers
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray +12
Systems that use Machine Learning (ML) have become commonplace for companies that want to improve their products and processes. Literature suggests that Requirements Engineering (R…
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach
Hugo Villamizar, Marcos Kalinowski, Helio Lopes +1
Engineering successful machine learning (ML)-enabled systems poses various challenges from both a theoretical and a practical side. Among those challenges are how to effectively ad…
A Systematic Mapping Study and Practitioner Insights on the Use of Software Engineering Practices to Develop MVPs
Silvio Alonso, Marcos Kalinowski, Bruna Ferreira +2
[Background] The MVP concept has influenced the way in which development teams apply Software Engineering practices. However, the overall understanding of this influence of MVPs on…