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Model checking is an established technique to formally verify automationsystems which are required to be trusted. However, for sufficiently complexsystems model checking becomes computationally infeasible. On the other hand,testing, which offers less reliability, often does not present a seriouscomputational challenge. Searching for synergies between these two approaches,this paper proposes a framework to ensure reliability of industrial automationsystems by means of hybrid use of model checking and testing. This frameworkrepresents a way to achieve a trade-off between verification reliability andcomputational complexity which has not yet been explored in other approaches.Instead of undergoing usual model checking, system requirements are checkedonly on particular system behaviors which represent a test suite achievingcoverage for both the system and the requirements. Then, all stages of theframework support the case of a closed-loop model, where not only thecontroller, but also the plant is modeled.

Combining closed-loop test generation and execution by means of model checking