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The concept of (meta) modeling combines an intuitive way of formalizing the structure of an application domain with a high expressiveness that makes it suitable for a wide variety of use cases and has therefore become an integral part of many areas in computer science. While the definition of modeling languages through the use of meta models, e.g. in UML, is a well-understood process, their validation and the extraction of behavioral information is still a challenge. This paper presents a novel approach for dynamic model analysis along with several fields of application.
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