Business process variability modeling : A survey

La Rosa, Marcello, van der Aalst, Wil M.P., Dumas, Marlon, & Milani, Fredrik P. (2016) Business process variability modeling : A survey. ACM Computing Surveys. (In Press)

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It is common for organizations to maintain multiple variants of a given business process, such as multiple sales processes for different products or multiple bookkeeping processes for different countries. Conventional business process modeling languages do not explicitly support the representation of such families of process variants. This gap triggered significant research efforts over the past decade leading to an array of approaches to business process variability modeling. This survey examines existing approaches in this field based on a common set of criteria and illustrates their key concepts using a running example. The analysis shows that existing approaches are characterized by the fact that they extend a conventional process mod- eling language with constructs that make it able to capture customizable process models. A customizable process model represents a family of process variants in a way that each variant can be derived by adding or deleting fragments according to configuration parameters or according to a domain model. The survey puts into evidence an abundance of customizable process modeling languages, embodying a diverse set of con- structs. In contrast, there is comparatively little tool support for analyzing and constructing customizable process models, as well as a scarcity of empirical evaluations of languages in the field.

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ID Code: 61842
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: business process model, variability, customization, configuration, survey
ISSN: 1557-7341
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > School of Information Systems
Copyright Owner: Copyright 2016 ACM
Deposited On: 14 Aug 2013 22:45
Last Modified: 19 Apr 2017 21:58

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