On the Degree of Behavioral Similarity between Business Process Models
Quality aspects become increasingly important while business process modeling is used in a large-scale enterprise setting. In order to facilitate storage without redundancy and an efficient retrieval of relevant process models in model databases it is required to develop a theoretical understanding of how a degree of behavioral similarity can be defined. In this paper, the authors address this challenge in a novel way. They use causal footprints as an abstract representation of the behavior captured by a process model, since they allow users to compare models defined in both formal modeling languages like Petri nets and informal ones like EPCs. Based on the causal footprint derived from two models, they calculate their similarity based on the established vector space model from information retrieval.