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Authors: Lamine Lafi 1 ; Jamel Feki 2 and Slimane Hammoudi 3

Affiliations: 1 University of Gabès, Tunisia ; 2 University of Sfax, Tunisia ; 3 ESEO, France

ISBN: 978-989-758-007-9

Keyword(s): Metamodel Matching, Metamodel Benchmarking, Decision Tree, Expert Assistance, Score Measure.

Related Ontology Subjects/Areas/Topics: MetaModeling ; Models ; Paradigm Trends ; Software Engineering

Abstract: One relevant issue in metamodel matching is how to select the most suitable matching technique to execute for a given couple of metamodels, and how to adjust parameters (e.g., threshold, F-measure, quality). In this paper, we present a flexible method for selecting the most appropriate metamodel matching technique for a given couple of metamodels. The proposed method assists the user to choose the most suitable matching technique that provides good quality of matches. This method relies on a new quality metric called Score and, on using a decision tree. In order to validate our method, we conduct experimental results on ten real-world metamodels and four recent matching techniques.

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Paper citation in several formats:
Lafi, L.; Feki, J. and Hammoudi, S. (2014). A New Flexible Method for Advising Metamodel Matching.In Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-007-9, pages 376-383. DOI: 10.5220/0004714903760383

@conference{modelsward14,
author={Lamine Lafi. and Jamel Feki. and Slimane Hammoudi.},
title={A New Flexible Method for Advising Metamodel Matching},
booktitle={Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2014},
pages={376-383},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004714903760383},
isbn={978-989-758-007-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - A New Flexible Method for Advising Metamodel Matching
SN - 978-989-758-007-9
AU - Lafi, L.
AU - Feki, J.
AU - Hammoudi, S.
PY - 2014
SP - 376
EP - 383
DO - 10.5220/0004714903760383

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