An Optimization approach for the early design of safety critical automotive embedded systems

The embedded system design is a challenging task. The engineers are faced with technological, cost, complexity and safety constraints. These constraints have a big impact on the system architecture and consequently on the final cost. we propose in this thesis an approach for system design and architecture optimization driven by safety and cost constraints. It consists of an architecture synthesis approach that takes into account the safety constraints in the ISO 26262 context. It allows, at one hand, to reach a system preliminary architecture by choosing the architecture elements that reduce the overall cost. On the other hand, it leads to a functions mapping that respects the safety constraints related to the integrity levels and to the dependent failures. We use exhaustive and genetic algorithm for the design space exploration. By applying it on an industrial study-case we demonstrate its contribution in reaching compliant design and its capability in reducing the safety constraints costs