doi: 10.17706/jsw.10.5.628-638
Adaptive Enterprise Architecture Modelling
Abstract—Agile or adaptive enterprise architecture driven software development approach requires a modelling standard to describe the existing and to-be developed artifacts both at the high enterprise level and low, detailed level. However, a single modelling standard may not be used off-the-shelf to fully support the modelling needs of an adaptive enterprise architecture driven software development needs. The modelling standards need to be systematically analyzed and integrated for a particular modelling context. This paper reviews two well-known modeling standards ArchiMate and BPMN by using the interoperability research framework. Based on the syntax, semantics and structural analysis of these two modelling standards’ metamodels, it proposes a hybrid adaptive enterprise architecture modelling approach for describing and analysing the artifacts both at the high enterprise level and low, detailed level for a particular context. This paper has both theoretical and practical implications for researchers and practitioners pursuing to integrate various modelling standards.
Index Terms—Adaptive modelling, agile modelling, archimate, BPMN, enterprise architecture, process modelling.
Cite: Asif Qumer Gill, Muhammad Atif Qureshi, "Adaptive Enterprise Architecture Modelling," Journal of Software vol. 10, no. 5, pp. 628-638, 2015.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Biannually
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
-
Mar 07, 2025 News!
Vol 19, No 4 has been published with online version [Click]
-
Mar 07, 2025 News!
JSW had implemented online submission system [Click]
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Oct 22, 2024 News!
Vol 19, No 3 has been published with online version [Click]