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Generic Model Refactorings

Authors: Moha, Naouel; Mahé, Vincent; Barais, Olivier; Jézéquel, Jean-Marc;

Generic Model Refactorings

Abstract

Many modeling languages share some common concepts and principles. For example, Java, MOF, and UML share some aspects of the concepts of classes, methods, attributes, and inheritance. However, model transformations such as refactorings specified for a given language cannot be readily reused for another language because their related metamodels may be structurally different. Our aim is to enable a flexible reuse of model transformations across various metamodels. Thus, in this paper, we present an approach allowing the specification of generic model transformations, in particular refactorings, so that they can be applied to different metamodels. Our approach relies on two mechanisms: (1) an adaptation based mainly on the weaving of aspects; (2) the notion of model typing, an extension of object typing in the model-oriented context. We validated our approach by performing some experiments that consisted of specifying three well known refactorings (Encapsulate Field, Move Method, and Pull Up Method) and applying each of them onto three different metamodels (Java, MOF, and UML).

Countries
Canada, France, France
Keywords

[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Top 10%
Green