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Visualizing Model Mappings in UML

Hausmann, Jan Hendrik and Kent, Stuart (2003) Visualizing Model Mappings in UML. In: Proceedings of the 2003 ACM symposium on Software visualization. ACM, pp. 169-178. ISBN 1-58113-642-0. (doi:10.1145/774833.774858) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1145/774833.774858

Abstract

Whenever multiple representations or models of a system exist, there is the possibility of defining how they relate. In model driven software development, it is essential that these mappings are defined precisely and automated as far as possible: they form the basis for generation of code and other models from a model, for reconciliation and management of consistency between models, and even for the definition of modeling languages themselves. A standard way of defining software modeling languages is metamodeling, which involves the construction of an object model of the syntax and, optionally, semantics of the language, using the diagrammatic syntax of the Unified Modeling Language (UML). This paper proposes an extension to UML for expressing mappings between models using diagrams, and illustrates how the extension can be used in metamodeling. The extension is inspired by mathematical relations and corrects a deficiency in the concept of association in class diagrams. The notation of object diagrams is also extended to allow particular instances of a relation to be presented.

Item Type: Book section
DOI/Identification number: 10.1145/774833.774858
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Systems Architecture Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00 UTC
Last Modified: 28 Aug 2019 08:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13837 (The current URI for this page, for reference purposes)
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