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A PROUD Methodology for TOGAF Business Architecture Modeling

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Advances in Intelligent Systems and Interactive Applications (IISA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 686))

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Abstract

Concerning the business architecture as the center of the enterprise architecture development, the TOGAF business architecture deserve to be modeled with a simple and definite model suit for the subsequent modeling phases to follow a clear requirement. We propose a modeling method named PROUD based on tailoring & mapping of the content meta-model of TOGAF business architecture. Furthermore, a 2-dimensional iterative modeling matrix is defined to ensure the derivation of the PROUD model instances from meta-models in gradient granularity. A simplified use case of gift exchange in Disneyland with MagicBand is illustrated for PROUD modeling example.

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References

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Acknowledgments

The work is funded from the National Natural Science Foundation of China [Grant No. 61403255, and No. 71571055]. The work is also supported by The Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning [grant number TP2014043].

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Authors and Affiliations

  1. Business School, University of Shanghai for Science and Technology, Shanghai, China

    Feng Ni, Fang Dai, Michael J. Ryoba, Shaojian Qu & Ying Ji

Authors
  1. Feng Ni
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  2. Fang Dai
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  3. Michael J. Ryoba
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  4. Shaojian Qu
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  5. Ying Ji
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Corresponding author

Correspondence to Feng Ni .

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Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Y. Zomaya

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Ni, F., Dai, F., Ryoba, M.J., Qu, S., Ji, Y. (2018). A PROUD Methodology for TOGAF Business Architecture Modeling. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_63

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  • DOI: https://doi.org/10.1007/978-3-319-69096-4_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69095-7

  • Online ISBN: 978-3-319-69096-4

  • eBook Packages: EngineeringEngineering (R0)

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