EAFoC: Enterprise architecture framework based on commonality

Jin Woo Kim, Ju Hum Kwon, Young Gab Kim, Chee Yang Song, Hyun Seok Kim, Doo Kwon Baik

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


The recent rapid development in information systems (ISs) has resulted in a critical need for integration and interoperability between heterogeneous ISs in various domains, using specific commonalities. However, stovepipe systems have been caused due to inconsistencies in planning IS architecture among stakeholders. So far, there has been no research on an enterprise architecture framework (EAF) that can satisfy with the coefficient factors of system architecture (SA) and enterprise architecture (EA). This paper proposes a new EAF that can resolve the problems inherent in existing legacy EAFs and their features. EAFoC (Enterprise Architecture Framework based on Commonality) is based on commonality that can be satisfied as the coefficient factors in both SA and EA within a common information technology (IT) domain. Thus, it should be possible to integrate an established heterogeneous framework for each stakeholder's view. Consequently, the most important contribution of this paper is to establish the appropriate EAFoC for the development of consistent IS architecture, smooth communication among stakeholders, systematic integration management of diversified and complicated new IT technologies, interoperability among heterogeneous ISs, and reusability based on commonality with other platforms.

Original languageEnglish
Pages (from-to)952-964
Number of pages13
JournalJournal of Computer Science and Technology
Issue number6
Publication statusPublished - 2006 Nov

Bibliographical note

Copyright 2012 Elsevier B.V., All rights reserved.


  • Enterprise architecture (EA)
  • Enterprise architecture framework based on commonality (EAFoC)
  • Enterprise integration (EI)
  • Requirements engineering process
  • System architecture (SA)

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Science Applications
  • Computational Theory and Mathematics


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