Paper Details: Downloads: 2023
Serial Number: P1121647525
Title: Semantic Anti-patterns Detection in UML Models based on Ontology Catalogue
Authors: Eman K. Elsayed and Kamal A.El-Dahshan and Enas E. El-Sharawy and Naglaa E.Ghannam4
Abstract: To develop the pattern quality, we need to clear them from anti-patterns. This paper proposes a general semantic anti-patterns detection tool with an ontology catalogue of anti-patterns information retrieval. The proposed tool is able to identify the anti-pattern and its solution according to the error message. That is to detect the UML class diagram in design level. The system allows the user adding a new anti-pattern at certain category in the catalogue. That is, under the semantic condition to avoid redundancy.
Keywords: Ontology, Anti-patterns, Anti-patterns Catalogues.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 16
Issue: 1
Submission Date: 11/12/2016 12:00:00 AM
Review Date: 12/6/2016 12:00:00 AM
Publishing Date: 12/25/2016 12:00:00 AM
Article Downloads: 2023
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