Quality assurance for embedded systems has been strongly influenced by model-driven development and model-based testing. The work presented in this paper focuses on the integration of model-based statistical testing with model-in-the-loop (MiL) and hardware-in the-loop (HiL) test activities applied to a real automotive control unit. The approach aims at improving the reuse of test artifacts and increasing the degree of automation. This will lead to lower effort. A tool chain for automated MiL and HiL testing has been developed, starting with the original system requirements and concluding with statistical reliability estimations.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite