Towards History-Aware Self-Adaptation with Explanation Capabilities
(2019)
Presentation / Conference Contribution
Outputs (9)
Preface to 9th International Workshop on Model-Driven Requirements Engineering (2019)
Presentation / Conference Contribution
Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes (2019)
Presentation / Conference Contribution
Querying and Annotating Model Histories with Time-Aware Patterns (2019)
Presentation / Conference Contribution
ARRoW: automatic runtime reappraisal of weights for self-adaptation (2019)
Presentation / Conference Contribution
An architectural framework for quality-driven adaptive continuous experimentation (2019)
Presentation / Conference Contribution
Models@run.time: a guided tour of the state of the art and research challenges (2019)
Journal Article
Perpetual Assurances for Self-Adaptive Systems (2019)
Journal Article
RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning (2019)
Presentation / Conference Contribution
[Context/Motivation] A model at runtime can be defined as an abstract representation of a system, including its structure and behaviour, which exist alongside with the running system. Runtime models provide support for decision-making and reasoning b... Read More about RaM: Causally-Connected and Requirements-Aware Runtime Models using Bayesian Learning.