Multi-requirement Parametric Falsification

Falsification is a popular simulation-based testing method for Cyber- Physical Systems to find inputs that violate a formal requirement. However, detecting violations considering multiple probabilistic requirements simultaneously with a dense space of changing factors in the execution scenario is an open problem. We address this problem by proposing a novel approach that combines parametric model checking and many-objective optimization. Results of a preliminary empirical evaluation show the effectiveness of the approach compared to selected baseline methods.