Virtual evaluation of complex command and control concepts demands the use of heterogeneous simulation environments. Development challenges include how to integrate multiple simulation engines with varying semantics and how to integrate simulation models and manage the complex interactions between them. While existing simulation frameworks may provide many of the required run-time services needed to coordinate among multiple simulation engines, they lack an overarching integration approach that connects and relates the interoperability of heterogeneous domain models and their interactions. This paper outlines some of the challenges encountered in developing a command and control simulation environment and discusses our use of the Generic Modeling Environment tool suite to create a modelbased integration approach that allows for rapid synthesis of complex high-level architecture-based simulation environments.

We describe a framework for model-based analysis and test case generation in the context of a heterogeneous modelbased development paradigm that uses and combines Math-Works and UML 2.0 models and the associated code generation tools. This paradigm poses novel challenges to analysis and test case generation that, to the best of our knowledge, have not been addressed before. The framework is based on a common intermediate representation for different modeling formalisms and leverages and extends model checking and symbolic execution tools for model analysis and test case generation, respectively. We discuss the application of our framework to software models for a NASA flight mission.

No abstract