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International Conference on Computational Collective Intelligence

ICCCI 2019: Computational Collective Intelligence pp 79–90Cite as

Towards the Pattern-Based Transformation of SBVR Models to Association-Oriented Models

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11683))

Abstract

The following research paper deals with the issue of automatic modeling of information systems models based on requirements. The requirements of information systems can be defined in different manner, e.g. in natural language or some formal, or semi-formal language. We have shown the assumptions for the approach, which employs patterns defined in SBVR metamodel and results with AOM models.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Jodłowiec & Marcin Pietranik

Authors
  1. Marcin Jodłowiec
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  2. Marcin Pietranik
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Corresponding author

Correspondence to Marcin Jodłowiec .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l’Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l’Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l’Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Jodłowiec, M., Pietranik, M. (2019). Towards the Pattern-Based Transformation of SBVR Models to Association-Oriented Models. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-28377-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28376-6

  • Online ISBN: 978-3-030-28377-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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