DocumentCode :
2929141
Title :
Towards models and metamodels co-evolution approach
Author :
Angucl, Fouzia ; Amirat, Abdelkrim ; Bounour, N.
Author_Institution :
El Tarf Univ., El Tarf, Algeria
fYear :
2013
fDate :
22-24 April 2013
Firstpage :
163
Lastpage :
167
Abstract :
Model Driven Software Engineering has matured over the last few years and is now becoming an established technology. As a consequence dealing with evolving metamodels and the necessary co-evolution of instances of this metamodel is becoming increasingly important. Several approaches have been proposed to solve model co-evolution problem. In this paper, Firstly, existing approaches in this area are analyzed to define requirements of our approach, namely automaticity, reuse, expressiveness and intelligence. After that we present a new approach CBRMig towards a solution to metamodel and model co-evolution problem. The core of our proposal is using a case based reasoning system that automates the process of creation and selection of cases to assist with the generation of a migration algorithm used for adapting models in response to metamodel evolution.
Keywords :
case-based reasoning; software engineering; CBRMig; case based reasoning system; metamodel co-evolution approach; migration algorithm; model co-evolution problem; model driven software engineering; Adaptation models; Biological system modeling; Cognition; Computational modeling; Computer architecture; Software; Unified modeling language; Case based reasoning; Co-evolution; Metamodel; Model; Transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Programming and Systems (ISPS), 2013 11th International Symposium on
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-1152-3
Type :
conf
DOI :
10.1109/ISPS.2013.6581482
Filename :
6581482
Link To Document :
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