Helena Holmström Olsson
Showing 16 publications
The HURRIER process for experimentation in business-to-business mission-critical systems
Real-time end-to-end federated learning: An automotive case study
On the Impact of ML use cases on Industrial Data Pipelines
An empirical evaluation of algorithms for data labeling
On the Trade-off Between Robustness and Complexity in Data Pipelines
An architecture for enabling A/B experiments in automotive embedded software
Experimentation for Business-to-Business Mission-Critical Systems: A Case Study
Data Pipeline Management in Practice: Challenges and Opportunities
Engineering AI Systems: A Research Agenda
Developing ML/DL Models: A design framework
From Ad-Hoc Data Analytics to DataOps
Automotive A/B testing: Challenges and Lessons Learned from Practice
Post-deployment data collection in software-intensive embedded products
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Showing 1 research projects
Software Engineering for AI/ML/DL