6 papers
Applying a Requirements-Focused Agile Management Approach for Machine Learning-Enabled Systems
Lucas Romao, Luiz Xavier, Júlia Condé Araújo +3
Machine Learning (ML)-enabled systems challenge traditional Requirements Engineering (RE) and agile management due to data dependence, experimentation, and uncertain model behavior…
DIP-AI: A Discovery Framework for AI Innovation Projects
Mariana Crisostomo Martins, Lucas Elias Cardoso Rocha, Lucas Cordeiro Romao +3
Despite the increasing development of Artificial Intelligence (AI) systems, Requirements Engineering (RE) activities face challenges in this new data-intensive paradigm. We identif…
Agile Management for Machine Learning: A Systematic Mapping Study
Lucas Romao, Hugo Villamizar, Romeu Oliveira +2
[Context] Machine learning (ML)-enabled systems are present in our society, driving significant digital transformations. The dynamic nature of ML development, characterized by expe…
Domain Knowledge in Requirements Engineering: A Systematic Mapping Study
Marina Araújo, Júlia Araújo, Romeu Oliveira +2
[Context] Domain knowledge is recognized as a key component for the success of Requirements Engineering (RE), as it provides the conceptual support needed to understand the system…
Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
Silvio Alonso, Antonio Pedro Santos Alves, Lucas Romao +2
[Context] The increasing adoption of machine learning (ML) in software systems demands specialized ideation approaches that address ML-specific challenges, including data dependenc…
Experiences Applying Lean R&D in Industry-Academia Collaboration Projects
Marcos Kalinowski, Lucas Romao, Ariane Rodrigues +4
Lean R&D has been used at PUC-Rio to foster industry-academia collaboration in innovation projects across multiple sectors. This industrial experience paper describes recent experi…