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Several application developers are currently faced with the problem of moving a complex system from a single-core to a multicore platform. The problem encompasses several issues that go from modeling issues (the need to represent the system features of interest with sufficient accuracy) to analysis and optimization techniques, to the selection of the right formulations for constraints that relate to time. We report on the initial findings in a case study in which the application of interest is a fuel injection system. We provide an analysis on the limitations of AUTOSAR and the existing modeling tools with respect to the representation of the parameters of interest for timing analysis, and we discuss applicable optimization methods and analysis algorithms.

Modern automotive embedded systems are characterized by timing constraints at different levels in the design hierarchy and flow. System-level functions like modern active-safety functions are characterized by end-to-end constraints that span several ECUs and buses. ECU-level functions, like fuel injection controls need to cope with stringent resource requirements, tight time constraints and event-driven computations with different execution modes. This paper introduces some of the models, the techniques and the tool integration methods developed in the context of the INTERESTED project to guarantee timing correctness at all levels in the flow. In addition, we outline the issues arising from the application of these techniques to a fuel injection case study.