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MDA Compatible Knowledge– Based IS Engineering Approach

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Artificial Intelligence and Computational Intelligence (AICI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6319))

Abstract

Enhancement of MDA process with Knowledge Base Subsystem is aimed to reduce risk of project failures caused by inconsistent user requirements caused by insufficient problem domain knowledge. The enhancement of IS development environment with Enterprise Knowledge Base is discussed in this article. The major parts of Knowledge Base Subsystem are Enterprise Meta-Model, Enterprise Model and transformation algorithms.

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References

  1. Asadi, M., Ramsin, R.: MDA-based Methodologies: An Analytic Survey. In: Proceedings of the 4th European Conference on Model Driven Architecture, Berlin, pp. 419–431 (2008)

    Google Scholar 

  2. Ellis, K.: The Impact of Business Requirements on the Success of Technology Projects. Benchmark, IAG Consulting (2008)

    Google Scholar 

  3. Ambler, S.W.: Agile Modeling, http://www.agilemodeling.com/essays/inclusiveModels.htm

  4. OMG: MDA Guide Version 1.0.1, www.omg.com

  5. ENV 12 204. Advanced Manufacturing Technology Systems Architecture - Constructs for Enterprise Modelling. CEN TC 310/WG1 (1996)

    Google Scholar 

  6. ENV 40 003. Computer Integrated Manufacturing Systems Architecture - Framework for Enterprise Modelling, CEN/CENELEC (1990)

    Google Scholar 

  7. Vernadat, F.: UEML: Towards a Unified Enterprise modeling language. In: Proceedings of MOSIM 2001, Troyes, France, 2001-04-25/27, http://www.univ-troyes.fr/mosim01

  8. Gupta, M.M., Sinha, N.K.: Intelligent Control Systems: Theory and Applications. The Institute of Electrical and Electronic Engineers Inc., New York (1996)

    MATH  Google Scholar 

  9. Gudas, S., Lopata, A., Skersys, T.: Approach to Enterprise Modeling for Information Systems Engineering. Informatica 16(2), 175–192 (2005)

    Google Scholar 

  10. Lopata, A., Gudas, S.: Enterprise model based computerized specification method of user functional requirements. In: International Conference 20th EURO Mini Conference EuroOpt-2008, Neringa, Lithuania, May 20-23, pp. 456–461 (2008) ISBN 978-9955-28-283-9

    Google Scholar 

  11. Lopata, A., Gudas, S.: Workflow-Based Acquisition and Specification of Functional Requirements. In: Proceedings of 15th International Conference on Information and Software Technologies IT 2009, Kaunas, Lithuania, April 23-24, pp. 417–426 (2009) ISSN 2029-0020

    Google Scholar 

  12. Gudas, S., Pakalnickas, E.: Enterprise Management view based Specification of Business Components. In: Proceedings of 15th International Conference on Information and Software Technologies, IT 2009, Kaunas, Technologija, pp. 417–426 (2009) ISSN 2029-0020

    Google Scholar 

  13. Leondes, C.T., Jackson, R.H.F.: Manufacturing and Automation Systems: Techniques and Technologies, p. 97. Academic Press, London (1992) ISBN 0120127458

    Google Scholar 

  14. Skersys, T.: Business Knowledge-Based Generation of the System Class Model. Informatica 37(2), 145–153 (2008)

    Google Scholar 

  15. Lloyd, A.: How to Migrate from Code-centric to Model-centric Development using Rational Software Archit, http://www.ibm.com/developerworks/rational/library/04/r-3247/index.html

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© 2010 Springer-Verlag Berlin Heidelberg

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Lopata, A., Ambraziunas, M. (2010). MDA Compatible Knowledge– Based IS Engineering Approach. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16530-6_28

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  • DOI: https://doi.org/10.1007/978-3-642-16530-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16529-0

  • Online ISBN: 978-3-642-16530-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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