Providing a comprehensive and extensible taxonomy of uncertainties, classifying uncertainties, their properties, and their relationships.
Creating an extensible and configurable Uncertainty Modelling Framework relying on exiting modelling/testing standards to support modelling uncertainties.
Developing smart techniques relying on existing search algorithms to discover unknown uncertainties.
Creating an Uncertainty Testing Framework to generate cost-effective test cases to test CPS under uncertainty.
U-Test is an Horizon 2020-funded project
(Grant Agreement 645463) funded under Call H2020-ICT-2014-1.