Dynamic Verification of SystemC with Statistical Model Checking
(2014)
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- Abstract
- Many embedded and real-time systems have a inherent probabilistic behaviour (sensors data, unreliable hardware,...). In that context, it is crucial to evaluate system properties such as “the probability that a particular hardware fails”. Such properties can be evaluated by using probabilistic model checking. However, this technique fails on models representing realistic embedded and real-time systems because of the state space explosion. To overcome this problem, we propose a verification framework based on Statistical Model Checking. Our framework is able to evaluate probabilistic and temporal properties on large systems modelled in SystemC, a standard system-level modelling language. It is fully implemented as an extension of the Plasma-lab statistical model checker. We illustrate our approach on a multi-lift system case study.
Citations
Ngo Van, C., Legay, A., & Quilbeuf, J. (2014). Dynamic Verification of SystemC with Statistical Model Checking. https://hdl.handle.net/2078.5/173065