David Issa Mattos
Visar 31 publikationer
The HURRIER process for experimentation in business-to-business mission-critical systems
Bayesian paired comparison with the bpcs package
An empirical evaluation of algorithms for data labeling
Towards Federated Learning: A Case Study in the Telecommunication Domain
Success Factors when Transitioning to Continuous Deployment in Software-Intensive Embedded Systems
Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory
Size matters? or not: A/B testing with limited sample in automotive embedded software
Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
Bayesian propensity score matching in automotive embedded software engineering
Perceived benefits of continuous deployment in software-intensive embedded systems
Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies
Experimentation for Business-to-Business Mission-Critical Systems: A Case Study
Evaluating the Effects of Different Requirements Representations on Writing Test Cases
Engineering for a science-centric experimentation platform
Automotive A/B testing: Challenges and Lessons Learned from Practice
From Ad-Hoc Data Analytics to DataOps
ACE: Easy deployment of field optimization experiments
Leveraging business transformation with machine learning experiments
Automated optimization of software parameters in a long term evolution radio base station
Multi-armed bandits in the wild: Pitfalls and strategies in online experiments
Message from the RCoSE-DDrEE 2019 workshop organizers
An activity and metric model for online controlled experiments
Towards Automated Experiments in Software Intensive Systems
Your system gets better every day you use it: Towards automated continuous experimentation
Development of a low-cost autonomous surface vehicle using MOOS-IvP
Troubleshooting Optimization Utilizing Multi-Start Simulated Annealing
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