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dc.rights.licenseAttribution-NonCommercial-ShareAlike 4.0 International*
dc.contributor.authorSagardui, Goiuria
dc.contributor.otherDe Carlos Garcia, Xabier
dc.contributor.otherTrujillo González, Salvador
dc.contributor.otherPerkaz Ortiz, Alain
dc.contributor.otherCañizo Zubizarreta, Mikel
dc.contributor.otherIglesias Goikoetxea, Aitziber
dc.date.accessioned2022-10-28T07:49:44Z
dc.date.available2022-10-28T07:49:44Z
dc.date.issued2016
dc.identifier.isbn978-84-9012-627-1en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=155521en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5773
dc.description.abstractLarge models are increasingly used in Model Driven Development. Different studies have proved that XMI (default persistence in Eclipse Modelling Framework) has some limitations when operating with large models. To overcome them, recent approaches have used databases for the persistence of models. EDBM (Embedded DataBase for Models) is an approach for persisting models in an embedded relational database, providing scalable querying mechanism by runtime translation of modellevel queries to SQL. In this paper, we present an evaluation of EDBM in terms of scalability with existing approaches. GraBaTs 2009 case study (models from 8.8MB to 646MB) is used for evaluation. EDBM is 70% faster than the compared approaches to persist XMI GraBats models into databases and executes the GraBats query faster, as well as having a low memory usage. These results indicate that an embedded relational database, combined with an scalable query mechanism provides a promising alternative for persisting and querying large models.en
dc.language.isoengen
dc.publisherEdiciones Universidad de Salamancaen
dc.rights© 2016 Ediciones Universidad de Salamanca y de cada autoren
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectModel-Driven Developmenten
dc.subjectLarge-Scale Modelsen
dc.subjectPersistenceen
dc.subjectQueryen
dc.subjectRuntime Translationen
dc.subjectEvaluationen
dc.titleEvaluating embedded relational databases for large model persistence and queryes
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceXXI Jornadas de Ingenieria del Software y Bases de Datosen
local.description.peerreviewedtrueen
local.description.publicationfirstpage199en
local.description.publicationlastpage212en
local.identifier.doihttps://eusal.es/eusal/catalog/book/978-84-9012-627-1en
local.contributor.otherinstitutionhttps://ror.org/03hp1m080es
local.source.detailsJISBD 2016. Biblioteca SISTEDESen
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Registro sencillo

Attribution-NonCommercial-ShareAlike 4.0 International
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