1. A method for detecting unknown scenarios in a data processing system, the method comprising the steps of: storing in a database known scenario data describing one or more known scenarios, said known scenario data describing how actors in the data processing system act and interact; using a processor device for generating element data depending on the known scenario data to form a set of elements, each element relating to at least an actor and a behavior of the actor; using a processor device for computing subsets of elements by combining at least some of the elements of the set of elements in dependence on their corresponding behavior, wherein elements are combined with regard to associated one or more requirements to obtain the subsets of elements and each of the subsets describes one or more possible scenarios; wherein combining of the elements to obtain sub-sets of elements comprises defining an end state first in which the possible scenario can result; using a processor device for creating new scenario data related to new scenarios depending on the subsets of elements; and using a comparator device for comparing the known scenario data with the new scenario data in order to identify the unknown scenarios.