activity
20222026
most citedLessons Learned to Improve the UX Practices in Agile Projects Involving Data Science and Process Automation

15 citations · 35 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

From One-Shot Generation to Incremental Music Composition: Adapting a General-Purpose Instruction LLM for Persistent Symbolic Editing

André Ricardo Ducca Fernandes, Jean-Pierre Briot, Simone Diniz Junqueira Barbosa1 +1

Most music-generation systems are still framed and evaluated primarily as producers of complete outputs, whereas composition often proceeds through successive revisions to a shared…

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…

cs.SE2023★ 15 cited

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…

cs.SE2022★ 15 cited

Lessons Learned to Improve the UX Practices in Agile Projects Involving Data Science and Process Automation

Bruna Ferreira, Silvio Marques, Marcos Kalinowski +2

Context: User-Centered Design and Agile methodologies focus on human issues. Nevertheless, agile methodologies focus on contact with contracting customers and generating value for…

cs.SE2022★ 3 cited

Towards Perspective-Based Specification of Machine Learning-Enabled Systems

Hugo Villamizar, Marcos Kalinowski, Helio Lopes

Machine learning (ML) teams often work on a project just to realize the performance of the model is not good enough. Indeed, the success of ML-enabled systems involves aligning dat…

cs.SE2022★ 1 cited

A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems

Hugo Villamizar, Marcos Kalinowski, Helio lopes

Requirements engineering (RE) activities for machine learning (ML) are not well-established and researched in the literature. Many issues and challenges exist when specifying, desi…