Abstract: Provided is a computer-implemented method for determining at least one class, including the steps of: providing at least one input data set with a plurality of performance metrics; preprocessing the at least one input data set into at least one respective processed input data set with a plurality of processed performance metrics; and determining the at least one class using machine learning on the basis of the at least one processed input data set. Further, a corresponding computer program product and system is provided.

Abstract: Provided is a method for determining at least one indication of at least one change, having the steps of receiving at least one input data record having the at least one change and associated data, and determining the at least one indication of the at least one change by applying a learning-based approach to the at least one received input data record. The invention is also directed to a determination unit and a computer program product.

Abstract: A method is disclosed for the computer-aided determination of the optimization potential of a software system including a plurality of modules that can interact with each other at least to some point during execution of the software system. At least one module to be examined is selected from the plurality of modules, in at least one embodiment, and is examined with respect to the effects of an optimization of the at least one module to be examined on the overall consumption of resources of the software system. A respective consumption of resources of one or more modules not to be examined of the plurality of modules is varied according to at least one predetermined criterion, thereby obtaining a modified software system. The overall consumption of resources of the modified software system is determined taking into consideration the variation of the modules not to be examined.

Abstract: A method is disclosed for the computer-aided determination of the optimization potential of a software system including a plurality of modules that can interact with each other at least to some point during execution of the software system. At least one module to be examined is selected from the plurality of modules, in at least one embodiment, and is examined with respect to the effects of an optimization of the at least one module to be examined on the overall consumption of resources of the software system. A respective consumption of resources of one or more modules not to be examined of the plurality of modules is varied according to at least one predetermined criterion, thereby obtaining a modified software system. The overall consumption of resources of the modified software system is determined taking into consideration the variation of the modules not to be examined.