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Problem Domain Knowledge Driven Generation of UML Models

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Information and Software Technologies (ICIST 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 920))

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Abstract

The main scope of the article is to present how the quality of stored problem domain information in Enterprise model (EM) is significant and important in Unified Modelling Language (UML) models generation process from Enterprise model. The generation process is explained by top-level transformation algorithm, which is presented in details and depicted by using algorithm’s step by step description. The importance of information quality and fullness is represented by the example of Business Rule element’s, which is stored in Enterprise model, significance for different UML models.

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Authors and Affiliations

  1. Kaunas Faculty, Institute of Applied Informatics, Vilnius University, Kaunas, Lithuania

    Ilona Veitaite & Audrius Lopata

Authors
  1. Ilona Veitaite
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  2. Audrius Lopata
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Correspondence to Ilona Veitaite .

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Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Giedrė Vasiljevienė

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Veitaite, I., Lopata, A. (2018). Problem Domain Knowledge Driven Generation of UML Models. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-99972-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99971-5

  • Online ISBN: 978-3-319-99972-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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