Conformance Between Choreography and Collaboration in BPMN Involving Multi-Instance Participants
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Published:2022-04-28
Issue:07
Volume:36
Page:
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ISSN:0218-0014
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Container-title:International Journal of Pattern Recognition and Artificial Intelligence
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language:en
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Short-container-title:Int. J. Patt. Recogn. Artif. Intell.
Author:
Xiong Tianhong1ORCID,
Pan Maolin1,
Yu Yang1,
Lou Dingjun1
Affiliation:
1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, P. R China
Abstract
AI-based process model analysis has attracted more and more interest. Model quality is crucial for such research. At present, inter-organizational business process (IOBP) has been widely used in the model design and development of the distributed system. Before implementing the intelligent analysis of the IOBP model, conformance as a foundation for model quality checking plays a key role because it ensures in advance that the participants can successfully interact without violating the global communication constraints imposed by the choreography. In fact, the multi-instance participant is a common requirement in IOBP. This paper provides a formal approach and framework supporting the conformance between BPMN choreography and collaboration while considering multi-instance participants and message communication modes. As a core, the formalization proposed is based on BNF syntax and structured CSP# processes. It can well support multi-instance features and multiple communication modes. Combined with CSP#, the formal definitions of communication modes and verification properties are given. On this basis, an integrated framework is provided to support automated formal verification referring to multiple communication modes. Finally, a set of experiments is conducted to demonstrate the effectiveness of the proposal.
Funder
the NSFC-Guangdong Joint Fund Project
the National Natural Science Foundation of Chin
the National Key Research and Development Program of China
the Research Foundation of Science and Technology Plan Project in Guangdong Province
Publisher
World Scientific Pub Co Pte Ltd
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Cited by
1 articles.
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