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Vehicles passengers and other traffic participants are protected more andmore by integral safety systems. They continuously perceive the vehiclesenvironment to prevent dangerous situations by e.g. emergency braking systems.Furthermore, increasingly intelligent vehicle functions are still of majorinterest in research and development to reduce the risk of accidents. However,the development and testing of these functions should not rely only onvalidations on proving grounds and on long-term test-runs in real traffic;instead, they should be extended by virtual testing approaches to modelpotentially dangerous situations or to re-run specific traffic situationseasily. This article outlines meta-metrics as one of todays challenges for thesoftware engineering of these cyber-physical systems to provide guidance duringthe system development: For example, unstable results of simulation test-runsover the vehicle functions revision history are elaborated as an indicatingmetric where to focus on with real or further virtual test-runs; furthermore,varying acting time points for the same virtual traffic situation areindicating problems with the reliability to interpret the specific situation.In this article, several of such meta-metrics are discussed and assigned bothto different phases during the series development and to different levels ofdetailedness of virtual testing approaches.

Meta-Metrics for Simulations in Software Engineering on the Example of Integral Safety Systems