Abstract: A method for training a machine learning module to validate or verify a closed-loop test platform for testing a system. The method includes: providing data sets from multiple closed-loop test platforms of which at least one is a reference test platform, each data set containing input data and associated output data of a system under test in a respective closed-loop test platform; determining the similarity of portions of input data for pairs of the data sets, each pair of test data sets containing a data set of a reference test platform; determining similarities of portions of the output data associated with the portions of input data; and training a machine learning module to estimate the similarity.

Abstract: A method for testing a technical system. Tests are carried out with the aid of a simulation of the system. The tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and different error measures of the simulation. On the basis of the fulfillment measure and each of the error measures, a classification of the tests is carried out as either reliable or unreliable case by case. A selection among the error measures is made on the basis of a number of the tests classified as reliable.

Abstract: A computer-implemented method for processing data associated with a simulation model, the simulation model being designed to simulate at least one aspect of a technical system. The method includes: ascertaining a first parameter group of parameters of the simulation model, whose sensitivity exceeds a predefinable sensitivity limiting value, ascertaining a substitute model for the simulation model based on the first parameter group, assessing a quality of the substitute model, a quality measure characterizing the quality of the substitute model being obtained.

Abstract: A method for testing a technical system. The method includes: tests are carried out with the aid of a simulation of the system, the tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and an error measure of the simulation, on the basis of the fulfillment measure and error measure, a classification of the tests as either reliable or unreliable is carried out.

Abstract: A method for testing a technical system. The method includes: tests are carried out with the aid of a simulation of the system, the tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and an error measure of the simulation, on the basis of the fulfillment measure and error measure, a classification of the tests as either reliable or unreliable is carried out, and a test database is improved on the basis of the classification.

Abstract: A method for testing a technical system. Tests are carried out with the aid of a simulation of the system. The tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and different error measures of the simulation. On the basis of the fulfillment measure and each of the error measures, a classification of the tests is carried out as either reliable or unreliable case by case. A selection among the error measures is made on the basis of a number of the tests classified as reliable.

Abstract: A method for testing a technical system. The method includes: tests are carried out with the aid of a simulation of the system, the tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and an error measure of the simulation, on the basis of the fulfillment measure and error measure, a classification of the tests as either reliable or unreliable is carried out.

Abstract: A method for testing a technical system. The method includes: tests are carried out with the aid of a simulation of the system, the tests are evaluated with respect to a fulfillment measure of a quantitative requirement on the system and an error measure of the simulation, on the basis of the fulfillment measure and error measure, a classification of the tests as either reliable or unreliable is carried out, and a test database is improved on the basis of the classification.