Cone of influence and constants propgation reduction techniques for MDG model checker

Sizes and complexity of modern design models has become the main challenges that can limit the model checking process due to the state explosion problem. Applying reduction techniques on complex modern system models to reduce their sizes, obtain relevant parts, and basically constructing such simplification for the model checking process can lead to verify those complex models. While Multiway Decision Graphs model checker (MDG-MC) has great advantages of using abstract variables and uninterpreted function symbols to describe sets of states and transition relations that increase the functional domain of MDG-MC, the state explosion problem is still the main limitation that prevents MDG-MC from verifying real modern designs. In this paper, and to alleviate the state explosion problem, we introduce a simple but powerful Cone of Influence and constants propagation reduction techniques to improve the efficiency of verification process of MDG-MC. The preliminary experimental results confirm that the reduction in model checking time and memory size can be dramatic, thereby allowing for the verification of hitherto intractable systems.