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dc.contributor.authorGarcía-Holgado, A.-
dc.contributor.authorGarcía-Peñalvo, F. J.-
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_78en
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 Ecore.en
dc.subjectModel Driven Developmenten
dc.subjectLearning ecosystems,en
dc.subjectInformation systemsen
dc.subjectSoftware engineeringen
dc.titleLearning ecosystem metamodel quality assuranceen
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