Sap Ag

Oliver Sievi

Udo Peter Klein

Guenter Pecht-Seibert

Thomas Wieczorek

Daniel Zimmermann

A method and system for graphical analysis to detect anomalies in process objects. The method generates a graph to represent a set of process objects, applies a clustering algorithm to cluster like nodes of the graph, compares the clusters to the process objects, and, if the objects match the clusters, accepts the objects for further review or for use in applications. If one or more of the objects do not match the clusters, such suggests that there are anomalies in the process objects requiring correction. An example implementation may be to detect anomalies in the design of the process objects.

Graphical analysis to detect process object anomalies

A method and system to evaluate process objects for acceptability for use. New metrics that measure both object components and their relationships are used. The method selects metrics for the process objects that measure both the components and their relationships, compares measurements of the selected metrics with corresponding metric norms, and, based on the comparison, determines whether the process objects are acceptable. The system includes a memory to store metrics and process objects and a processor to select applicable metrics for the process objects, calculate the measurements of the selected metrics, compare the measurements to corresponding metric norms, and, based on the comparison, determine whether the process objects are acceptable.

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Sandhausen, Germany

Oliver Sievi