Verification of Component-based Embedded System Designs

Embedded systems are becoming increasingly common in our everyday lives. As technology progresses, these systems become more and more complex. Designers handle this increasing complexity by reusing existing components. At the same time, the systems must fulfill strict functional and non-functional requirements. This thesis presents novel and efficient techniques for the verification of component-based embedded system designs. As a common basis, these techniques have been developed using a Petri net based modelling approach, called PRES+. Two complementary problems are addressed: component verification and integration verification. With component verification the providers verify their components so that they function correctly if given inputs conforming to the assumptions imposed by the components on their environment. Two techniques for component verification are proposed in the thesis. The first technique enables formal verification of SystemC designs by translating them into the PRES+ representation. The second technique involves a simulation based approach into which formal methods are injected to boost verification efficiency. Provided that each individual component is verified and is guaranteed to function correctly, the components are interconnected to form a complete system. What remains to be verified is the interface logic, also called glue logic, and the interaction between components. Each glue logic and interface cannot be verified in isolation. It must be put into the context in which it is supposed to work. An appropriate environment must thus be derived from the components to which the glue logic is connected. This environment must capture the essential properties of the whole system with respect to the properties being verified. In this way, both the glue logic and the interaction of components through the glue logic are verified. The thesis presents algorithms for automatically creating such environments as well as the underlying theoretical framework and a step-by-step roadmap on how to apply these algorithms.

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