2 citations · 8 across the 9 of their papers we have counts for
7 papers · 1 filter
Reusability in MLOps: Leveraging Ports and Adapters to Build a Microservices Architecture for the Maritime Domain
Renato Cordeiro Ferreira, Aditya Dhinavahi, Rowanne Trapmann +1
ML-Enabled Systems (MLES) are inherently complex since they require multiple components to achieve their business goal. This experience report showcases the software architecture r…
SPIRA: Building an Intelligent System for Respiratory Insufficiency Detection
Renato Cordeiro Ferreira, Dayanne Gomes, Vitor Tamae +2
Respiratory insufficiency is a medic symptom in which a person gets a reduced amount of oxygen in the blood. This paper reports the experience of building SPIRA: an intelligent sys…
Exploring Micro Frontends: A Case Study Application in E-Commerce
Ricardo Hideki Hangai Kojo, Luiz Fernando Corte Real, Renato Cordeiro Ferreira +2
In the micro frontends architectural style, the frontend is divided into smaller components, which can range from a simple button to an entire page. The goal is to improve scalabil…
Making a Pipeline Production-Ready: Challenges and Lessons Learned in the Healthcare Domain
Daniel Angelo Esteves Lawand, Lucas Quaresma Medina Lam, Roberto Oliveira Bolgheroni +3
Deploying a Machine Learning (ML) training pipeline into production requires good software engineering practices. Unfortunately, the typical data science workflow often leads to co…
A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems
Renato Cordeiro Ferreira
How can the complexity of ML-enabled systems be managed effectively? The goal of this research is to investigate how complexity affects ML-Enabled Systems (MLES). To address this q…
A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems
Renato Cordeiro Ferreira
How can the complexity of ML-enabled systems be managed effectively? The goal of this research is to investigate how complexity affects ML-Enabled Systems (MLES). To address this q…
Leveraging XP and CRISP-DM for Agile Data Science Projects
Andre Massahiro Shimaoka, Renato Cordeiro Ferreira, Alfredo Goldman
This study explores the integration of eXtreme Programming (XP) and the Cross-Industry Standard Process for Data Mining (CRISP-DM) in agile Data Science projects. We conducted a ca…