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.