Business process variability modeling: A survey

, , , & Milani, Fredrik (2017) Business process variability modeling: A survey. ACM Computing Surveys, 50(1), Article number: 2 1-45.

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Description

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.

Impact and interest:

157 citations in Scopus
132 citations in Web of Science®
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ID Code: 61842
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
La Rosa, Marcelloorcid.org/0000-0001-9568-4035
Measurements or Duration: 45 pages
Keywords: Variability modeling, business process model, configuration, customizable process model, customization, process model, survey, variability
DOI: 10.1145/3041957
ISSN: 0360-0300
Pure ID: 33184617
Divisions: Past > QUT Faculties & Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 15 Aug 2013 08:45
Last Modified: 28 Nov 2025 03:53