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Towards the Automated Business Model-Driven Conceptual Database Design

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Advances in Databases and Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 186))

Abstract

The paper presents an UML-business-model-driven approach to the automated design of the initial conceptual database model. The proposed approach is based on: (i) extraction of characteristic concepts from the business model consisting of a finite set of UML activity diagrams representing the business processes of the whole enterprise, and (ii) automated generation of the UML class diagram representing the target conceptual model. The implemented two-phase automatic generator iterates through the source business model, processes all activity diagrams and generates the target class diagram. The classes are being generated in the first phase, while the class associations are being added in the second phase. The application of the implemented generator is illustrated on the simplified real business model.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, University of Banja Luka, Patre 5, 78000, Banja Luka, Bosnia and Herzegovina

    Drazen Brdjanin & Slavko Maric

Authors
  1. Drazen Brdjanin
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  2. Slavko Maric
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Corresponding author

Correspondence to Drazen Brdjanin .

Editor information

Editors and Affiliations

  1. Institute of Computing Science, Poznan University of Technology, ul. Piotrowo 3a, Poznan, 60-965, Poland

    Tadeusz Morzy

  2. , Dept. of Computer Science, University of Kaiserslautern, Kaiserslautern, 67653, Germany

    Theo Härder

  3. Institute of Computing Science, Faculty of Computing, Poznań University of Technology, Piotrowo 2, Poznań, 60-965, Poland

    Robert Wrembel

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Brdjanin, D., Maric, S. (2013). Towards the Automated Business Model-Driven Conceptual Database Design. In: Morzy, T., Härder, T., Wrembel, R. (eds) Advances in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32741-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-32741-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32740-7

  • Online ISBN: 978-3-642-32741-4

  • eBook Packages: EngineeringEngineering (R0)

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