Probabilistic model checking for hybrid systems with hybrid concolic testing and importance sampling
Hybrid systems are dynamic systems that exhibit both continuous and discrete behavior. Many real-world engineering problems can be categorized as hybrid systems, including part of the typical cyber-physical systems. Hybrid systems are known to be hard to analyze and verify as they can both flow with...
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| Natura: | Tesi |
| Lingua: | English |
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2016
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| Accesso online: | https://hdl.handle.net/10356/65915 |