Modeling languages for business processes and business rules: A representational analysis

zur Muehlen, Michael and Indulska, Marta (2010) Modeling languages for business processes and business rules: A representational analysis. Information Systems, 35 4: 379-390. doi:10.1016/

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Author zur Muehlen, Michael
Indulska, Marta
Title Modeling languages for business processes and business rules: A representational analysis
Journal name Information Systems   Check publisher's open access policy
ISSN 0306-4379
Publication date 2010-06
Year available 2009
Sub-type Article (original research)
DOI 10.1016/
Volume 35
Issue 4
Start page 379
End page 390
Total pages 12
Editor Dragan Gašević
Giancarlo Guizzardi
Kuldar Taveter
Gerd Wagner
Place of publication Oxford, U.K.
Publisher Pergamon
Collection year 2011
Language eng
Subject C1
080603 Conceptual Modelling
890399 Information Services not elsewhere classified
Abstract Process modeling and rule modeling languages are both used to document organizational policies and procedures. To date, their synergies and overlap are under-researched. Understanding the relationship between the two modeling types would allow organizations to maximize synergies, avoid content duplication, and thus reduce their overall modeling effort. In this paper we use the Bunge-Wand-Weber (BWW) representation theory to compare the representation capabilities of process and rule modeling languages. We perform a representational analysis of four rule modeling specifications: The Simple Rule Markup Language (SRML), the Semantic Web Rules Language (SWRL), the Production Rule Representation (PRR) and the Semantics of Business Vocabulary and Business Rules (SBVR) specification. We compare their BWW representation capabilities with those of four popular conceptual process modeling languages. In our analysis we focus on the aspects of maximum ontological completeness and minimum ontological overlap. The outcome of this study shows that no single language is internally complete with respect to the BWW representation model. We also show that a combination of two languages, in particular SRML and BPMN, appears to be better suited for combined process and rule modeling than any of these modeling languages used independently. Copyright 2009 Elsevier B.V. All rights reserved
Keyword Business process modeling
Business rule modeling
Business process management
Representation theory
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 12 March 2009

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
UQ Business School Publications
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Citation counts: TR Web of Science Citation Count  Cited 33 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 83 times in Scopus Article | Citations
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Created: Fri, 13 Mar 2009, 10:50:14 EST by Karen Morgan on behalf of UQ Business School