Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study
- Autores
- Bonhaure, Daniel; Gonzalez, Magalí; Aquino, Nathalie; Cernuzzi, Luca; Pons, Claudia Fabiana
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión enviada
- Descripción
- This study focuses on model-to-model – M2M – transformations, as part of the ModelDriven 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.
- Materia
-
Ciencias de la Computación
Model-Driven Development
Model-Driven Architecture
Architectural Specific Model
Modelto-Model Transformation
Rich Internet Applications
Systematic Mapping Study - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10646
Ver los metadatos del registro completo
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Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping StudyBonhaure, DanielGonzalez, MagalíAquino, NathalieCernuzzi, LucaPons, Claudia FabianaCiencias de la ComputaciónModel-Driven DevelopmentModel-Driven ArchitectureArchitectural Specific ModelModelto-Model TransformationRich Internet ApplicationsSystematic Mapping StudyThis study focuses on model-to-model – M2M – transformations, as part of the ModelDriven 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.2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10646enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:04Zoai:digital.cic.gba.gob.ar:11746/10646Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:05.122CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study |
title |
Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study |
spellingShingle |
Exploring Model-to-Model Transformations for RIA Architectures by means of a Systematic Mapping Study Bonhaure, Daniel Ciencias de la Computación Model-Driven Development Model-Driven Architecture Architectural Specific Model Modelto-Model Transformation Rich Internet Applications 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 |
dc.creator.none.fl_str_mv |
Bonhaure, Daniel Gonzalez, Magalí Aquino, Nathalie Cernuzzi, Luca Pons, Claudia Fabiana |
author |
Bonhaure, Daniel |
author_facet |
Bonhaure, Daniel Gonzalez, Magalí Aquino, Nathalie Cernuzzi, Luca Pons, Claudia Fabiana |
author_role |
author |
author2 |
Gonzalez, Magalí Aquino, Nathalie Cernuzzi, Luca Pons, Claudia Fabiana |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación Model-Driven Development Model-Driven Architecture Architectural Specific Model Modelto-Model Transformation Rich Internet Applications Systematic Mapping Study |
topic |
Ciencias de la Computación Model-Driven Development Model-Driven Architecture Architectural Specific Model Modelto-Model Transformation Rich Internet Applications Systematic Mapping Study |
dc.description.none.fl_txt_mv |
This study focuses on model-to-model – M2M – transformations, as part of the ModelDriven 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. |
description |
This study focuses on model-to-model – M2M – transformations, as part of the ModelDriven 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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
submittedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10646 |
url |
https://digital.cic.gba.gob.ar/handle/11746/10646 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
instacron_str |
CICBA |
institution |
CICBA |
repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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1844618598706839552 |
score |
13.069144 |