416 citations · 1.7k across the 34 of their papers we have counts for
4 papers · 1 filter
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…
On Developing an Artifact-based Approach to Regulatory Requirements Engineering
Oleksandr Kosenkov, Michael Unterkalmsteiner, Jannik Fischbach +3
Context: Regulatory acts are a challenging source when eliciting, interpreting, and analyzing requirements. Requirements engineers often need to involve legal experts who, however,…
Use of Agile Practices in Start-ups
Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou +4
Context Software start-ups have shown their ability to develop and launch innovative software products and services. Small, motivated teams and uncertain project scope makes start-…
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…