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An Information System Supporting the Eliciting of Expert Knowledge for Successful IT Projects Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Problem Domain Knowledge Driven Generation of UML Models

Authors : Ilona Veitaite, Audrius Lopata

Published in: Information and Software Technologies

Publisher: Springer International Publishing

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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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Metadata
Title
Problem Domain Knowledge Driven Generation of UML Models
Authors
Ilona Veitaite
Audrius Lopata
Copyright Year
2018
Book
Information and Software Technologies

Print ISBN: 978-3-319-99971-5

Electronic ISBN: 978-3-319-99972-2

Copyright Year: 2018

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

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