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dc.creatorRomero Organvidez, Davides
dc.creatorGalindo Duarte, José Ángeles
dc.creatorHorcas Aguilera, José Migueles
dc.creatorBenavides Cuevas, David Felipees
dc.date.accessioned2022-11-28T10:07:22Z
dc.date.available2022-11-28T10:07:22Z
dc.date.issued2022
dc.identifier.citationRomero Organvidez, D., Galindo Duarte, J.Á., Horcas Aguilera, J.M. y Benavides Cuevas, D.F. (2022). Variability-aware data migration tool. En SPLC 2022: 26th ACM International Systems and Software Product Line Conference (78-81), Graz, Austria: ACM: Association for Computing Machinery.
dc.identifier.isbn978-1-4503-9206-8es
dc.identifier.urihttps://hdl.handle.net/11441/139831
dc.description.abstractRelational databases are widely present in the development of soft ware applications. A typical implementation can be seen in content management systems found on most websites. However, the migra tion of database structure and content between different manage ment systems is not trivial, and the manual creation of scripts makes it difficult to reuse them in other scenarios. This paper presents a tool for database migration by modeling what we call a migration product line. This tool allows to obtain different configurations resulting in final products in a semi-automatic way, i.e., products according to software requirements, considering the variability be tween any two relational databases. To study the feasibility of our proposal, we have implemented a proof of concept that performs the migration between two databases.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación RTI2018-101204-B-C22 (OPHELIA)es
dc.description.sponsorshipJunta de Andalucía P20-01224 (COPERNICA)es
dc.description.sponsorshipJunta de Andalucía METAMORFOSIS (US-1381375)es
dc.formatapplication/pdfes
dc.format.extent4es
dc.language.isoenges
dc.publisherACM: Association for Computing Machineryes
dc.relation.ispartofSPLC 2022: 26th ACM International Systems and Software Product Line Conference (2022), pp. 78-81.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDatabaseses
dc.subjectMigrationses
dc.subjectModel transformationses
dc.subjectProduct Lineses
dc.subjectVariabilityes
dc.titleVariability-aware data migration tooles
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDRTI2018-101204-B-C22 (OPHELIA)es
dc.relation.projectIDCOPERNICA (P20-01224)es
dc.relation.projectIDMETAMORFOSIS (US-1381375)es
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3503229.3547062es
dc.identifier.doi10.1145/3503229.3547062es
dc.contributor.groupUniversidad de Sevilla. TIC-258: Data-centric Computing Research Hubes
dc.publication.initialPage78es
dc.publication.endPage81es
dc.eventtitleSPLC 2022: 26th ACM International Systems and Software Product Line Conferencees
dc.eventinstitutionGraz, Austriaes
dc.relation.publicationplaceNew York, USAes
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes
dc.contributor.funderJunta de Andalucíaes

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