dc.creator | Rodas Silva, Jorge Luis | es |
dc.creator | Galindo Duarte, José Ángel | es |
dc.creator | García Gutiérrez, Jorge | es |
dc.creator | Benavides Cuevas, David Felipe | es |
dc.date.accessioned | 2020-04-07T08:38:17Z | |
dc.date.available | 2020-04-07T08:38:17Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Rodas Silva, J.L., Galindo Duarte, J.Á., García Gutiérrez, J. y Benavides Cuevas, D.F. (2019). Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress. IEEE Access, 7, 69226-69245. | |
dc.identifier.issn | 2169-3536 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94953 | |
dc.description.abstract | In software products line (SPL), there may be features which can be implemented by different components, which means there are several implementations for the same feature. In this context, the selection of the best components set to implement a given configuration is a challenging task due to the high number of combinations and options which could be selected. In certain scenarios, it is possible to find information associated with the components which could help in this selection task, such as user ratings. In this paper, we introduce a component-based recommender system, called (REcommender System that suggests implementation Components from selecteD fEatures), which uses information associated with the implementation components to make recommendations in the domain of the SPL configuration. We also provide a RESDEC reference implementation that supports collaborative-based and content-based filtering algorithms to recommend (i.e., implementation components) regarding WordPress-based websites configuration. The empirical results, on a knowledge base with 680 plugins and 187 000 ratings by 116 000 users, show promising results. Concretely, this indicates that it is possible to guide the user throughout the implementation components selection with a margin of error smaller than 13% according to our evaluation. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad RTI2018-101204-B-C22 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2014-55894-C2-1-R | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2017-88209-C2-2-R | es |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad MCIU-AEI TIN2017-90644-REDT | es |
dc.format | application/pdf | es |
dc.format.extent | 20 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE Access, 7, 69226-69245. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Feature models | es |
dc.subject | Implementation components | es |
dc.subject | Recommender systems | es |
dc.subject | Software product line | es |
dc.subject | Wordpress | es |
dc.title | Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | RTI2018-101204-B-C22 | es |
dc.relation.projectID | TIN2014-55894-C2-1-R | es |
dc.relation.projectID | TIN2017-88209-C2-2-R | es |
dc.relation.projectID | MCIU-AEI TIN2017-90644-REDT | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8720203 | es |
dc.identifier.doi | 10.1109/ACCESS.2019.2918469 | es |
dc.journaltitle | IEEE Access | es |
dc.publication.volumen | 7 | es |
dc.publication.initialPage | 69226 | es |
dc.publication.endPage | 69245 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Ministerio de Economía | es |