Parameter synthesis with IC3

Parametric systems arise in different application domains, such as software, cyber-physical systems or tasks scheduling. A key challenge is to estimate the values of parameters that guarantee the desired behaviours of the system. In this paper, we propose a novel approach based on an extension of the IC3 algorithm for infinite-state transition systems. The algorithm finds the feasible region of parameters by complement, incrementally finding and blocking sets of “bad” parameters which lead to system failures. If the algorithm terminates we obtain the precise region of feasible parameters of the system. We describe an implementation for symbolic transition systems with linear constraints and perform an experimental evaluation on benchmarks taken from the domain of hybrid systems. The results demonstrate the potential of the approach.