Advertisement

Towards Multifractal Approach in IS Development

  • Marite Kirikova
Chapter

Abstract

Since today's enterprises must constantly adapt to rapidly changing external environment, it is necessary to be able to deal with variation and changing conditions in information systems (IS) development. This may be achieved by the use of multifractal IS development methodologies. Fractal approaches to some extent have already been tested in adaptive enterprise development, adaptive manufacturing systems development, and software development. This suggests that multifractal IS development, on the one hand, is appropriate, because the information system should properly reflect the business enterprise (in this case a fractal one) and, on the other hand, it is possible, because some elements of it have already been implemented. Development of multifractal IS aims at managing relative completeness by relative simplicity that has to be discovered in different subsystems that influence the development of the information system. This, in essence, implies the need of thorough analysis an understanding of business structures and processes to discover patterns useful for the identification of fractal features. Currently, only some guidelines for development of multifractal IS are derived from reported experiences of fractal systems development and the use of fractal approaches in other domains.

Keywords

Information System Fractal System Fractal Approach Information Granule Level Fractal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The research work reflected in the article is supported by the Ministry of Science and Education of Republic of Latvia and Riga Technical University, Project No. R7199.

References

  1. Baniassad, E. et al. (2006) Discovering early aspects,IEEE Software, January/February, pp. 61–69.Google Scholar
  2. Beers, T.W. (2003) Fractal framework: finding sub-themes and implementing sub-frameworks,Proceedings of IEEE International Conference on Information Reuse and Integration, pp. 580–583.Google Scholar
  3. Bruneton, E., Coupaye, T. and Stefani, J.B. (2004) The Fractal Component Model. Specification, The ObjectWeb Consortium.Google Scholar
  4. Bubenko, J.A. jr, Persson, A. and Stirna, J. (2001)User Guide of the Knowledge Management Approach Using Enterprise Knowledge Patterns, deliverable D3, IST Programme project “Hypermedia and Pattern Based Knowledge Management for Smart Organisations”, project no. IST-2000-28401, Dept. of Computer and Systems Sciences, Royal Institute of Technology, Stockholm, Sweden.Google Scholar
  5. Bussler, Ch. (2007) The fractal nature of Web services,IEEE Computer, March, pp. 93–95.Google Scholar
  6. Canavesio, M.M. and Martinez, E. (2007) Enterprise modeling of a project-oriented fractal company for SMEs networking,Computers in Industry, doi: 10.1016/j.compind.2007.02.-05., available online athttp:// www.sciencedirect.com, accessed July 30, 2007.
  7. Chiva-Gomez, R. (2004) Repercussions on complex adaptive systems on product design management. InTechnovation 24, pp. 707–711.Google Scholar
  8. Fryer, P. and Ruis, J. (2006) What are fractal systems: A brief description of complex adaptive and emerging systems, available athttp://www.fractal.org, accessed April 14, 2007.
  9. Gabriel, R.P. and Goldman, R (2006). Conscientious Software,Proceedings of OOPSLA'06, pp. 433–450, ACM 1-59593-348-4/06/0010.Google Scholar
  10. Hongzhao, D., Dongxu, L., Yanwei, Z. and Chen, Y. (2005) A novel approach of networked manufacturing collaboration: fractal web based enterprise. International Journal on Advanced Manufacturing Technology, No. 26, pp. 1436–1442.CrossRefGoogle Scholar
  11. Kirikova, M. (1999) Towards completeness of business models.Information Modelling and Knowledge Bases X, H. Jaakola et al. (Eds.), IOS Press, Amsterdam, Netherlands, 1999, pp. 42–54 .Google Scholar
  12. Klonowski, Wl. (2000) Signal and image analysis using chaos theory and fractal geometry, available athttp://www.fractal.org, accessed April 14, 2007.
  13. Klein, M. and Petti, Cl. (2006) A handbook-based methodology for redesigning business processes, Knowledge and Process Management, Vol. 13, No. 2, pp. 108–119.CrossRefGoogle Scholar
  14. Koike, H. and Yoshihara, H. (1993) Fractal approaches for visualizing huge hierarchies.Proceedings of the IEEE Symposium on Visual languages, pp. 55–60.Google Scholar
  15. Koutsakas, F., Hatzaras, P., Vontas, A. and Koumpis, A. (2002) Implementing information supply chains: the IST Adrenalin project. Logistics Information Management, Vol. 15, Issue 4, pp. 320–326.CrossRefGoogle Scholar
  16. Levene, M. and Loizou, G. (2003) Why is the snowflake schema a good data warehouse design? Information Systems, 28 (3). pp. 225–240.CrossRefGoogle Scholar
  17. Leydesdorff, L. and Meyer, M. (2003) The triple helix of university-industry-government relations, Sociometrics, Vol. 58, No. 2, pp. 191–203.Google Scholar
  18. Lewison, L. (1994) Fractal databases – new horizons in database management, available athttp:// www.iie.org, accessed July 30, 2007.
  19. Lufei, H. and Shi, W. Fractal (2006) A mobile code-based framework for dynamic application protocol adaptation. Journal of Parallel and Distributed Computing, Vol. 66, Issue 7, pp. 887–906.CrossRefGoogle Scholar
  20. McNutt, Br. (2000)The Fractal Structure of Data Reference: Application to the Memory Hierarchy (Advances in Database Systems), Springer.Google Scholar
  21. Ramanathan, Y. (2005) Fractal architecture for the adaptive complex enterprise. Communications of ACM, May, Vol.48, No. 5, pp. 51–67.CrossRefGoogle Scholar
  22. Ryu, K. and Jung, M. (2003), Fractal approach to managing intelligent enterprises.Creating Knowledge Based Organisations, J.N.D. Gupta and S.K. Sharma (Eds.), Idea Group Publishers, pp. 312–348.Google Scholar
  23. Sihn, W. (1995), Re-engineeringthrough fractal structures.Proceedings of IFIPWG5.7 Working Conference Reengineering the Enterprise, Ireland, pp. 21–30.Google Scholar
  24. Sprice, R., and Kirikova, M. (2005) Feasibility study: New knowledge demands in turbulent business world.Advances in Information Systems Development: Bridging the Gap Between Academia and Industry Vol. 2, A.G. Nilsson, R. Gustas, W. Wojtkowski, W.G. Wojtkowski, S. Wrycza, J. Zupancic (Eds.), Springer, Berlin, 2006, pp. 131–142,Google Scholar
  25. Tenteris, J., Vilums, E. and Zulis, V. (1996). Development and optimization of large system by GRADE, available athttp://www.gradetools.com, accessed April 15, 2007.
  26. Tharumarajah, A., Wells, A.J. and Nemes, L. (1998) Comparison of emerging manufacturing concepts. Systems, Man and Cybernetics, October, Vol. 1, pp. 325–331.Google Scholar
  27. Tolvanen, J.-P. (2006) Creating domain-specific modeling language for an exixting framework, available athttp://www.metacase.com, accessed April 15, 2007.
  28. Van Grootel, G. and Poort, J. (2006) IWETO, a research in information clearing house.Proceedings of the 4th International Conference on Politics and Information Systems, Technologies and Applications: PISTA'06, 2pp.Google Scholar
  29. Warneke, H.J. (1993) The Fractal Company, Springer Verlag, Berlin.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Marite Kirikova

There are no affiliations available

Personalised recommendations