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Multicores, being the latest state-of-the-art technology, gain more and more importance in automotive and aerospace systems. This technology will not only be used in infotainment and non-safety-critical applications but will also be introduced in upcoming safety-critical systems. At the moment, various commercial off-the-shelf processors are available that are, however, not built for such applications. In order to ensure correct system behavior, online monitoring can be used for processors targeting infotainment or general purpose applications. The cores and other bus masters within the MPSoC compete for the exclusive use of shared resources like a memory controller. It is of high importance to provide guarantees of usage in such cases, e.g. in terms of access time and rates.

Due to the continuously increasing complexity of automotive electric/electronic architectures (EEAs), model-based systems engineering principles became state-of-the-art for designing such heterogeneous systems. However, current Architecture Description Languages (ADLs) as well as their system-design and analysis tools and frameworks for simulation-based analysis of EEA models often are not fully integrated in a single design process. They usually require error-prone import/export processes, especially when considering distributed collaboration, from EEA data models to external analysis frameworks and vice versa. Particularly, this limits the efficient assessment and comparison of distinct architecture variants regarding certain non-functional properties. Moreover, simulation-based analysis of the latter intended for EEA assessments in early concept phases demands backtracking capabilities to allow iterative model adaptations.