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dc.contributor.authorGarcía Holgado, Alicia 
dc.contributor.authorGarcía Peñalvo, Francisco J. 
dc.date.accessioned2018-11-06T12:33:50Z
dc.date.available2018-11-06T12:33:50Z
dc.date.issued2018
dc.identifier.citationGarcía-Holgado, A., & García-Peñalvo, F. J. (2018). Learning ecosystem metamodel quality assurance. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Trends and Advances in Information Systems and Technologies (Vol. 1, pp. 787-796). Cham: Springer. doi:10.1007/978-3-319-77703-0_78es_ES
dc.identifier.urihttp://hdl.handle.net/10366/138836
dc.description.abstractThe learning ecosystem metamodel is a framework to support Model-Driven Development of learning ecosystems based on Open Source software. The metamodel must be validated in order to provide a robust solution for the development of this type of technological solutions. The first phase of the validation process has done manually, but to ensure the quality of the metamodel, the last phase should be made using a tool. The first version of the metamodel is an instance of MOF, the standard defined by the Object Management Group. There are not stable tools to support the definition and mapping of metamodels and models using the standards. For this reason, is necessary to transform the metamodel from MOF to Ecore in order to use the tools provided by Eclipse. This work describes the transformation process and the measures to ensure the quality of the learning ecosystem metamodel in Ecorees_ES
dc.format.mimetypeapplication/pdf
dc.language.isospaes_ES
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectInformation technologyes_ES
dc.subjectMetamodeles_ES
dc.subjectModel Driven Developmentes_ES
dc.subjectLearning ecosystemses_ES
dc.subjectInformation systemses_ES
dc.subjectSoftware engineeringes_ES
dc.subjectEcorees_ES
dc.subjectQualityes_ES
dc.titleLearning ecosystem metamodel quality assurancees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1007/978-3-319-77703-0_78
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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