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With the huge improvements made during the last years in the area of integrated safety systems, they are one of the main contributors to the massively rising complexity within automotive systems. However, this enormous complexity stimulates the demand for methodologies supporting the efficient development of such systems, both in terms of cost and development time. Within this work, we propose a co-simulation-based approach for the validation of integrated safety systems. Based on data measurements gained from a test bed, models for the sensors and the distributed safety system are established. They are integrated into a co-simulation environment containing models of the ambience, driving dynamics, and the crash-behavior of the vehicle. Hence, the complete heterogeneous system including all relevant effects and dependencies is modeled within the co-simulation.

Functional safety of automotive embedded systems is a key issue during the development process. To support the industry, the automotive functional safety standard ISO 26262 has been defined. However, there are several limitations when following the approach directly as defined in the standard. Within this work, we propose an approach for the integration and test of safety-critical systems by using system modeling techniques. The combination of two state-of-the-art modeling languages into a dedicated multi-language development process provides a direct link between all stages of the development process, thus enabling efficient safety verification and validation already during modeling phase. It supports the developer in efficient application of requirements as defined by ISO 26262, hence reducing development time and cost by providing traceable safety argumentation.