activity
20242026
most citedDomain Knowledge in Requirements Engineering: A Systematic Mapping Study

1 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

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

Investigating the Use of LLMs for Evidence Briefings Generation in Software Engineering

Mauro Marcelino, Marcos Alves, Bianca Trinkenreich +4

[Context] An evidence briefing is a concise and objective transfer medium that can present the main findings of a study to software engineers in the industry. Although practitioner…

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★ 1 cited

Get on the Train or be Left on the Station: Using LLMs for Software Engineering Research

Bianca Trinkenreich, Fabio Calefato, Geir Hanssen +5

The adoption of Large Language Models (LLMs) is not only transforming software engineering (SE) practice but is also poised to fundamentally disrupt how research is conducted in th…

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…