RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning

Mathematics

• Bayesian inference 17%
• Bayesian Learning 100%
• Context 5%
• Coupled Model 11%
• Decision Making 25%
• Demonstrate 15%
• Design 5%
• Evidence 20%
• Experiment 6%
• Infrastructure 11%
• Knowledge 6%
• Machine Learning 9%
• Model 22%
• Model-based 7%
• Monitoring 8%
• Networking 12%
• Partially Observable Markov Decision Process 55%
• Reasoning 16%
• Requirements 54%
• Requirements Specification 32%
• Self-adaptation 28%
• Service Level Agreement 17%
• Software Architecture 15%
• Update 16%

Engineering & Materials Science

• Decision making 14%
• Experiments 2%
• Machine learning 4%
• Markov processes 28%
• Monitoring 3%
• Software architecture 6%
• Specifications 8%