Conference
An Automated Approach to Management of a Collection of Autonomic Systems
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots
Synthesizing tradeoff spaces with quantitative guarantees for families of software systems
MOSAICO: offline synthesis of adaptation strategy repertoires with flexible trade-offs
Preface
Reasoning about sensing uncertainty and its reduction in decision-making for self-adaptation