activity
20242026
most citedAgile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar

Davide Taibi, Henry Muccini, Karthik Vaidhyanathan +15

The rise of agentic AI is reshaping software engineering in two intertwined directions: agents are increasingly applied to support software engineering tasks, and Agentic AI system…

cs.SE2026

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…

cs.SE2025

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…

cs.SE2025

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…

cs.SE2025★ 1 cited

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…

cs.SE2025

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…

cs.SE2025

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…

cs.SE2024★ 1 cited

Agile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education

Lucas Romao, Marcos Kalinowski, Clarissa Barbosa +3

[Context] Software Engineering (SE) education constantly seeks to bridge the gap between academic knowledge and industry demands, with active learning methods like Problem-Based Le…