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Enhancing Robust Execution of BPMN Process Diagrams: A Practical Approach
Hodjat Soleimani Malekan, Mohammad Shafahi, Naser Ayat, Hamideh Afsarmanesh

Enhancing Robust Execution of BPMN Process Diagrams: A Practical Approach

Science & Mathematics Published 2018 Verification Pending

Overview & Synopsis

As a standard modeling language for definition of business processes and services, BPMN is used both within the organizations as well as for co-creation of joint services to run among the networked organizations. However, introducing certain constructs, such as OR-join and Complex-join in BPMN Process Diagrams (BPDs) can lead to execution problems, due to ambiguities inherent in these constructs in relation to their execution semantics. Although these constructs are often used to represent the real-world behaviors, none of the existing approaches applied by the BP management systems are practically tuned to disambiguate and support their proper execution. Rooted in workflow patterns concept, we first introduce a set of algorithms to automate the identification of ambiguous patterns (i.e., workflow patterns that include OR-join constructs). Then, we introduce a set of equivalent unambiguous BP fragments that can substitute those ambiguous patterns. To this end, we have conceptualized the identification of three OR-join ambiguous patterns by applying the RPST technique, represent a set of unambiguous solutions for their substitution, and implemented our method as the proof of concept for our approach.

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Document Information

Document Title Enhancing Robust Execution of BPMN Process Diagrams: A Practical Approach
Author / Organization Hodjat Soleimani Malekan, Mohammad Shafahi, Naser Ayat, Hamideh Afsarmanesh
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2018
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-221863
Original Source Link Visit Source Page on hal.science »