The triconnected abstraction of process models

Polyvyanyy, Artem, Smirnov, Sergey, & Weske, Mathias (2009) The triconnected abstraction of process models. In Dayal, Umeshwar, Eder, Johann, Koehler, Jana, & Reijers, Hajo A. (Eds.) Lecture Notes in Computer Science : Business Process Management, Springer Berlin Heidelberg, Ulm, Germany, pp. 229-244.

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Companies use business process models to represent their working procedures in order to deploy services to markets, to analyze them, and to improve upon them. Competitive markets necessitate complex procedures, which lead to large process specifications with sophisticated structures. Real world process models can often incorporate hundreds of modeling constructs. While a large degree of detail complicates the comprehension of the processes, it is essential to many analysis tasks. This paper presents a technique to abstract, i.e., to simplify process models. Given a detailed model, we introduce abstraction rules which generalize process fragments in order to bring the model to a higher abstraction level. The approach is suited for the abstraction of large process specifications in order to aid model comprehension as well as decomposing problems of process model analysis. The work is based on process structure trees that have recently been introduced to the field of business process management.

Impact and interest:

24 citations in Scopus
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23 citations in Web of Science®

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ID Code: 70723
Item Type: Conference Paper
Refereed: Yes
Additional Information: Book Subtitle: 7th International Conference, BPM 2009, Ulm, Germany, September 8-10, 2009. Proceedings
Additional URLs:
DOI: 10.1007/978-3-642-03848-8_16
ISBN: 9783642038471
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2009 Springer-Verlag Berlin Heidelberg
Copyright Statement: The final publication is available at Springer via
Deposited On: 30 Apr 2014 00:17
Last Modified: 14 Sep 2016 05:49

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