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Erschienen in:
2014 | OriginalPaper | Buchkapitel
CFS: A Behavioral Similarity Algorithm for Process Models Based on Complete Firing Sequences
verfasst von : Zihe Dong, Lijie Wen, Haowei Huang, Jianmin Wang
Erschienen in: On the Move to Meaningful Internet Systems: OTM 2014 Conferences
Verlag: Springer Berlin Heidelberg
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Similarity measurement of process models is an indispensable task in business process management, which is widely used in many scenarios such as organizations merging, user requirements change and model repository management. This paper focuses on a behavioral process similarity algorithm named CFS based on complete firing sequences which are used to express model behavior. We propose a matching theme for two sets of complete firing sequences by A* algorithm with pruning strategy and define new similarity measure method. Experiments show that this method improves rationality than existing behavior-based similarity algorithms.