Business Process Model Abstraction

Artem Polyvyanyy (), Sergey Smirnov () and Mathias Weske ()
Additional contact information
Artem Polyvyanyy: Queensland University of Technology
Sergey Smirnov: University of Potsdam
Mathias Weske: University of Potsdam

A chapter in Handbook on Business Process Management 1, 2015, pp 147-165 from Springer

Abstract: Abstract In order to execute, study, or improve operational processes, companies document them as business process models. Often, business process analysts capture every single exception handling or alternative task handling scenario within a model. Such a tendency results in large process specifications. The core process logic becomes hidden in numerous modeling constructs. To fulfill different tasks, companies develop several model variants of the same business process at different abstraction levels. Afterwards, maintenance of such model groups involves a lot of synchronization effort and is erroneous. We propose an abstraction methodology that allows generalization of process models. Business process model abstraction assumes a detailed model of a process to be available and derives coarse-grained models from it. The task of abstraction is to tell significant model elements from insignificant ones and to reduce the latter. We propose to learn insignificant process elements from supplementary model information, e.g., task execution time or frequency of task occurrence. Finally, we discuss a mechanism for user control of the model abstraction level – an abstraction slider.

Keywords: Transformation Rule; Business Process Model; Process Instance; Process Scenario; Graph Transformation Rule (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ihichp:978-3-642-45100-3_7

Ordering information: This item can be ordered from
http://www.springer.com/9783642451003

DOI: 10.1007/978-3-642-45100-3_7

Access Statistics for this chapter

More chapters in International Handbooks on Information Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().