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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

N-ary Relations of Association in Class Diagrams: Design Patterns

Author 1: Sergievskiy Maxim

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070237

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.

  • Abstract and Keywords
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Abstract: Most of the technology of object-oriented development relies on the use of UML diagrams, in particular, class diagrams. CASE tools, used for automation of object-oriented development, often do not support n-ary associations in the class diagrams, and their implementation in the form of program code in contrast to binary rather time-consuming. The article will show how in some cases it is possible to move from the n-ary association between classes to binary and how can reduce the number of objects. The rules to transform models, that contain n-ary association, will be presented in the form of design patterns. Proposed three new design patterns can be used in the process of developing software systems. These patterns describe transformations of n-ary (often ternary) associations occur between classes in binary and the introduction of additional classes and binary association with the aim of optimizing the model.

Keywords: UML; class diagram; multiplicity; ternary association; n-ary association; class-association; design pattern; object

Sergievskiy Maxim, “N-ary Relations of Association in Class Diagrams: Design Patterns” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070237

@article{Maxim2016,
title = {N-ary Relations of Association in Class Diagrams: Design Patterns},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070237},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070237},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Sergievskiy Maxim}
}


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