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Validation of UML Artifacts in Model Driven Engineering using Description Logics based Ontology Reasoners

by Ali Hanzala Khan, Naeem Abbas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 171 - Number 3
Year of Publication: 2017
Authors: Ali Hanzala Khan, Naeem Abbas
10.5120/ijca2017915003

Ali Hanzala Khan, Naeem Abbas . Validation of UML Artifacts in Model Driven Engineering using Description Logics based Ontology Reasoners. International Journal of Computer Applications. 171, 3 ( Aug 2017), 9-16. DOI=10.5120/ijca2017915003

@article{ 10.5120/ijca2017915003,
author = { Ali Hanzala Khan, Naeem Abbas },
title = { Validation of UML Artifacts in Model Driven Engineering using Description Logics based Ontology Reasoners },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2017 },
volume = { 171 },
number = { 3 },
month = { Aug },
year = { 2017 },
issn = { 0975-8887 },
pages = { 9-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume171/number3/28159-2017915003/ },
doi = { 10.5120/ijca2017915003 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:18:26.313376+05:30
%A Ali Hanzala Khan
%A Naeem Abbas
%T Validation of UML Artifacts in Model Driven Engineering using Description Logics based Ontology Reasoners
%J International Journal of Computer Applications
%@ 0975-8887
%V 171
%N 3
%P 9-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article presents an automatic approach to validate UML artifacts created during Model Driven Engineering. This validation approach may be used at both model and metamodel layer of Model Driven Architecture. This approach first automatically translates the UML artifacts into logical equivalent OWL 2 axioms and then use OWL 2 reasoners to validate the translations. Furthermore, the viability of the approach is demonstrated by validating 303 models and metamodels available in an online repository and the results show that half of the models and metamodels found erroneous.

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Index Terms

Computer Science
Information Sciences

Keywords

Reasoning Metamodels Models MDE Ontology

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