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I'm trying to understand aspects of automatic test case generation (tcg) from models. During my research I came across two "techniques" called sematic driven tcg and symbolic execution based tcg. About the latter I found some information sporadically that helped me to understand this approach a bit.

But I don't know how to understand semantic driven in the context of automatic test case generation. I can imagine that semantic information are connected to the model from which the tc are generated. But how? And which (semantic) information?

Is there any connection between these two approaches?

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