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.
@article{arxiv.1412.0885,
title = {Dynamic Verification of SystemC with Statistical Model Checking},
author = {Van Chan Ngo and Axel Legay and Jean Quilbeuf},
journal= {arXiv preprint arXiv:1412.0885},
year = {2015}
}