3 citations · 17 across the 15 of their papers we have counts for
15 papers
Towards a Framework for Operationalizing the Specification of Trustworthy AI Requirements
Hugo Villamizar, Daniel Mendez, Marcos Kalinowski
Growing concerns around the trustworthiness of AI-enabled systems highlight the role of requirements engineering (RE) in addressing emergent, context-dependent properties that are…
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…
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…
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Mendez +4
[Context] In Brazil, 41% of companies use machine learning (ML) to some extent. However, several challenges have been reported when engineering ML-enabled systems, including unreal…
Naming the Pain in Machine Learning-Enabled Systems Engineering
Marcos Kalinowski, Daniel Mendez, Görkem Giray +12
Context: Machine learning (ML)-enabled systems are being increasingly adopted by companies aiming to enhance their products and operational processes. Objective: This paper aims to…
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre +3
[Context] Applying design principles has long been acknowledged as beneficial for understanding and maintainability in traditional software projects. These benefits may similarly h…
On the Interaction between Software Engineers and Data Scientists when building Machine Learning-Enabled Systems
Gabriel Busquim, Hugo Villamizar, Maria Julia Lima +1
In recent years, Machine Learning (ML) components have been increasingly integrated into the core systems of organizations. Engineering such systems presents various challenges fro…
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Mendez +13
[Context] Systems incorporating Machine Learning (ML) models, often called ML-enabled systems, have become commonplace. However, empirical evidence on how ML-enabled systems are en…
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray +12
Systems that use Machine Learning (ML) have become commonplace for companies that want to improve their products and processes. Literature suggests that Requirements Engineering (R…
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach
Hugo Villamizar, Marcos Kalinowski, Helio Lopes +1
Engineering successful machine learning (ML)-enabled systems poses various challenges from both a theoretical and a practical side. Among those challenges are how to effectively ad…
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…
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…
An Efficient Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications
Hugo Villamizar, Marcos Kalinowski, Alessandro Garcia +1
Defects in requirements specifications can have severe consequences during the software development lifecycle. Some of them may result in poor product quality and/or time and budge…
An Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications
H. Villamizar, A. A. Neto, M. Kalinowski +2
Defects in requirements specifications can have severe consequences during the software development lifecycle. Some of them result in overall project failure due to incorrect or mi…
A Systematic Mapping Study on Security in Agile Requirements Engineering
H. Villamizar, M. Kalinowski, M. Viana +1
[Background] The rapidly changing business environments in which many companies operate is challenging traditional Requirements Engineering (RE) approaches. This gave rise to agile…