An automated technique to support the verification and validation of simulation models

Simulation modeling requires model validation and verification to ensure that computed results are worth being considered. While we cannot expect a magic solution to the general problem, automated techniques for particular aspects of validation and verification are feasible. In this paper, we propose a technique to deduce model properties automatically from simulation runs performed for verification and validation and to use those properties for runtime monitoring during production runs. Properties are represented as formulas in linear temporal logic and are limited to functional properties. We demonstrate the applicability of the approach with using an extended version of a stochastic Botnet model originally developed by Van Ruitenbeek and Sanders.