Skip to main content
Log in

EAFoC: Enterprise Architecture Framework Based on Commonality

  • Regular Paper
  • Published:
Journal of Computer Science and Technology Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Zachman J A. A framework for information system architecture. IBM System Journal, 1987, 26(3): 276–292.

    Article  Google Scholar 

  2. Open Group. The open group architecture framework version 5.0. 1995.

  3. OMB’s FEAPMO. Federal enterprise architecture: Enabling the vision of E-government. February, 2004.

  4. C4ISR Architectures Working Group. Levels of information systems interoperability (LISI). 1998.

  5. C4ISR AF architecture framework. Version 2.1, Department of Defense, USA, 2000.

  6. Treasury enterprise architecture framework. Version 1, Department of Defense, USA, 2000.

  7. Practical guide of federal enterprise architecture conceptual framework, U. S. CIO Council, 2001.

  8. Zachman J A. The physics of enterprise architecture. In Proc. Conf. Enterprise Architecture, Zachman Int’l, April 10–12, 2000, http://www.irmuk.co.uk.eac2000.

  9. Architecture framework working group. DoD Architecture Framework. Version 1.0, Volumes I, II, Department of Defense, USA, 2003.

  10. DoD DISA. Standards-Based Architecture (SBA) Planning Guide, 1996.

  11. Jin-Woo Kim, Tae-Gong Lee. A study on national defense enterprise architecture framework. Journal of the Military Operations Research Society, December 2003, 29(2): 45–60.

    Google Scholar 

  12. Jin-Woo Kim, Young-Gab Kim, Ju-Hum Kwon et al. An enterprise architecture framework based on a common IT domain for improving interoperability among heterogeneous information systems. In Proc. International Conference on Software Engineering Research, Management & Applications, IEEE, Michigan, USA, August 11–13, 2005, pp.198–205.

  13. Peter Bernus, Laszlo Nemes, Gunter Schmidt. Handbook on Enterprise Architecture. Springer, 2003.

  14. Bernard H Boar. Constructing Blueprints for Enterprise IT Architecture. John Wiley & Sons, 1999.

  15. Patrick Bolton. Governing enterprise architecture: Lessons learned from implementing federal. Government EAs, Cutter IT Journal, July 2003, 16(7): 136–137.

  16. Steven H Spewak. Enterprise Architecture Planning — Developing a Blueprint for Data, Application and Technology. A. Wiley-QED, 2001.

  17. Gregor Hohpe, Bobby Woolf. Enterprise Integration Patterns: Designing, Building, Deploying Messaging Solution. Addison-Wesley, 2004.

  18. Richard Martin, Edward L. Roberton. Formalization of Multi-level Zachman frameworks. Technical Report NO.522, Department of Computer Science, Indiana University, April 1999.

  19. Rick Kazman, Mark Klein, Paul Clements. ATAM: Method for Architecture Evaluation. Carnegie Mellon University Software Engineering Institute, 2000.

  20. IEEE Std 1471. Recommended practice for architectural description-intensive systems.

  21. Alan Robinson et al. Handbook of Automated Reasoning. Elsevier Science Publishers B.V, 2001.

  22. Hatley, Derek J et al. Process for System Architecture and Requirements Engineering. Dorset House, 2000.

  23. Tae-Gong Lee, Sung-Bum Park. The effectiveness measurement model through analyzing the performance indexes of IT architecture. Journal of Information Technology Architecture, July 2004, 1(1): 53–62.

    Google Scholar 

  24. ASD C3I. Guide for managing information technology (IT) as an investment and measuring performance. Version 1.0, Department of Defense, 1997.

  25. The Open Group. Communication and information system interoperability in the Ministry of Defense. 1997.

  26. Ian Sommerville. Software Engineering. Addison-Wesley, 1995.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin-Woo Kim.

Additional information

Jin-Woo Kim is a Ph.D. candidate in the Department of Computer Science and Engineering at Korea University. He received his master’s degree in computer science and engineering from the National Defense University in 2002. His research interests include enterprise architecture, software engineering, and ontology.

Ju-Hum Kwon is a director of the System Management Department at the Korea Air Force Central Computer Center. He received his Ph.D. degree from Korea University in 2005 and M.S. degree from Wayne State University (U.S.A) in 1999. His research interests include enterprise architecture, ontology integration, and computer security.

Young-Gab Kim received his Ph.D. degree in computer science & engineering from Korea University in 2006. His current research interests include metadata registry (MDR), enterprise architecture, security protocols, security for ubiquitous computing and home networks, and security formalization.

Chee-Yang Song is a professor at Sang-Ju University in Korea. He received his Master’s degree from Chung-Ang University in 1987, and the Ph.D. degree from Korea University in 2003, respectively. His current research areas include enterprise architecture, software architecture, formal specification, and meta-model.

Hyun-Seok Kim is a Ph.D. candidate in the Department of Computer Science and Engineering at Korea University. He received his master’s degree in computer science and engineering from Korea University in 2006. His research interests include formal specification, network security, and enterprise architecture.

Doo-Kwon Baik is a professor at Korea University. He received his Master’s and Ph.D. degrees in computer science from Wayne State University. His research interests include data engineering, software engineering, modeling and simulation. He served as a chair in ISO/IEC JTC1/SC32-Korea. He has also served as president of the Korea Simulation Society.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, JW., Kwon, JH., Kim, YG. et al. EAFoC: Enterprise Architecture Framework Based on Commonality. J Comput Sci Technol 21, 952–964 (2006). https://doi.org/10.1007/s11390-006-0952-5

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11390-006-0952-5

Keywords

Navigation