Comparison and retrieval of process models using related cluster pairs

Although increasingly IT-supported, effective techniques for process model retrieval and identification of process model differences or changes - needed for a variety of management and conformance purposes - are still challenging problems in business process management. Performing automated process comparison and finding relevant reference processes are not routine procedures for today's operational process repositories. Efficient combinations of similarity measures for various process model characteristics can still improve the performance of process comparison and retrieval. The approach at hand introduces the concept of related cluster pairs, parameterises it with semantic, string-based, and novel hybrid metrics for comparing process models, and defines a novel similarity notion for process model retrieval. Evaluations with process data from the SAP reference model show that our approach outperforms current related work and established text search engines.

Subjects

Process model similarity measure

Process models

Related cluster pairs

String-based, semantic, and hybrid word similarity metrics

DDC Class

000: Allgemeines, Wissenschaft

Options

Comparison and retrieval of process models using related cluster pairs