Today, we recognize a discrepancy between design models concentrating on the desired behaviour of a system and its real world correspondents re ecting deviations taking place at runtime. In order to close this gap, design models must not be static, but evolutionary artefacts so to speak liquid models. Such liquid models are the cornerstone of our research project CDL-MINT (https://cdlmint.se.jku.at/) which is about the model-based continuous evolution of cyberphysical systems based on operational data gathered and analysed at runtime. In my talk, I will present some initial results of this project, in particular the liquid models architecture for linking design models with runtime concerns. I will also elaborate on the proposed technologies for the respective architectural layers and identify the research challenges ahead.
Moreover, he is/was involved in several national and international projects dealing with the foundations and application of model engineering techniques, especially metamodeling and model transformations, for domains such as tool interoperability, legacy tool modernization, model versioning and evolution, software reverse engineering and migration, Web engineering including social Web and semantic Web, Cloud computing, and exible production systems. He is coauthor of the book Model-driven Software Engineering in Practice (Morgan & Claypool, second edition, 2017).