Abstract: A computer-implemented method for providing a scenario test process includes: training and using a similarity classification module to classify the similarity between two scenarios based on respective subsets of respective parameter sets of the two scenarios; generating a graph representation including a multiplicity of scenarios, including the two scenarios, wherein respective nodes represent respective subsets of respective parameter sets of respective scenarios, and edges between respective nodes are weighted by a similarity classification value which indicates the similarity between respective scenarios corresponding to the respective nodes; receiving an input including a required value for covering scenarios stored in a storage unit and/or a required number of scenarios to be tested, such that a selection and an order of execution of scenarios is determined; and providing the selection and the order of execution and/or a coverage value of an overall coverage of the selection of scenarios.

Abstract: A computer-implemented method and system for generating at least one observer of at least one signal of a virtual test for validating a predefined function of a motor vehicle. A data set is provided having a plurality of elements of an operational design domain of the predefined function of the motor vehicle. Each element of the operational design domain is defined by a condition of the at least one signal of the virtual test. A system is also provided for generating at least one observer of at least one signal of a virtual test for validating a predefined function of a motor vehicle.

Abstract: Computer-implemented method for providing a test process for traffic scenarios to be tested, having the steps of: training and using a similarity classification module for the purpose of classifying the similarity between two scenarios based on a subset of a parameter set of the particular scenario; generating a graph representation comprising a multiplicity of scenarios, wherein nodes each represent the subset of a parameter set of a scenario and edges between two nodes are weighted with a similarity classification value which indicates the similarity between the two scenarios of the respective nodes; receiving a user input by means of a user interface and/or an automatic system input, wherein the input comprises a required value for covering the scenarios and/or a required number of scenarios to be tested, with the result that a selection and an execution sequence of the scenarios are determined.

Abstract: A computer-implemented method for determining a computational effort of a virtual test of a device for driving a motor vehicle at least partly autonomously includes: providing at least one parameter set of driving situation parameters and of configuration data of a first algorithm that performs the virtual test, wherein the virtual test performed by the first algorithm simulates the at least one parameter set of driving situation parameters, and wherein the result of the simulation is used to determine at least one further parameter set of driving situation parameters that is simulated in a subsequent iteration; applying a second algorithm to the at least one parameter set of driving situation parameters and the configuration data of the first algorithm; and outputting at least one numerical value that represents the computational effort of the virtual test.