7 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…
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…
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…
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…