Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study

This study focuses on model-to-model – M2M – transformations, as part of the Model- Driven Development – MDD – approach, for Rich Internet Applications – RIA. The main aim of this study is to identify fields that require further contributions, and/or research opportunities in the previously mentione...

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Autores principales:	Bonhaure Falcón, Daniel Pierre, González, Magalí, Aquino, Nathalie, Cernuzzi, Luca, Pons, Claudia
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2017
Materias:	Ciencias Informáticas Model-driven development Model-driven architecture Architectural specific model Modelto- model transformation Systematic mapping study Rich internet applications
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/103774 http://www.clei.org/cleiej/index.php/cleiej/article/view/35
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Model-driven development Model-driven architecture Architectural specific model Modelto- model transformation Systematic mapping study Rich internet applications
spellingShingle	Ciencias Informáticas Model-driven development Model-driven architecture Architectural specific model Modelto- model transformation Systematic mapping study Rich internet applications Bonhaure Falcón, Daniel Pierre González, Magalí Aquino, Nathalie Cernuzzi, Luca Pons, Claudia Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
topic_facet	Ciencias Informáticas Model-driven development Model-driven architecture Architectural specific model Modelto- model transformation Systematic mapping study Rich internet applications
description	This study focuses on model-to-model – M2M – transformations, as part of the Model- Driven Development – MDD – approach, for Rich Internet Applications – RIA. The main aim of this study is to identify fields that require further contributions, and/or research opportunities in the previously mentioned context. We applied mapping studies techniques, since these techniques use the same basic methodology as reviews but are more general and aimed at discovering what the research trends are, allowing to identify gaps in the literature. From an initial set of 132 papers, we selected 30 papers first. Then, thanks to experts’ suggestion, we added 3 additional papers. Therefore, we considered 33 research papers. The performed analysis led to various considerations. Among the important ones, we can mention: there are many newly proposed methods, the scarcity of rigorous and formal validation of such methods, the problem of the portability of Platform Independent Models – PIM, and the low number of tools available for MDD.
format	Articulo Articulo
author	Bonhaure Falcón, Daniel Pierre González, Magalí Aquino, Nathalie Cernuzzi, Luca Pons, Claudia
author_facet	Bonhaure Falcón, Daniel Pierre González, Magalí Aquino, Nathalie Cernuzzi, Luca Pons, Claudia
author_sort	Bonhaure Falcón, Daniel Pierre
title	Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
title_short	Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
title_full	Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
title_fullStr	Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
title_full_unstemmed	Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
title_sort	exploring model-to-model transformations for ria architectures by means of a systematic mapping study
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/103774 http://www.clei.org/cleiej/index.php/cleiej/article/view/35
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Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study

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