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 | 2022-11-25T09:30:24Z | |
dc.date.available | 2022-11-25T09:30:24Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Rodas Silva, J.L., Galindo Duarte, J.Á., García Gutiérrez, J. y Benavides Cuevas, D.F. (2019). RESDEC: Online Management Tool for Implementation Components Selection in Software Product Lines Using Recommender Systems. En SPLC 2019: 23rd International Systems and Software Product Line Conference (33-36), Paris, France: ACM: Association for Computing Machinery. | |
dc.identifier.isbn | 978-1-4503-6668-7 | es |
dc.identifier.uri | https://hdl.handle.net/11441/139785 | |
dc.description.abstract | Software product lines (SPL) management is one of the most im portant activities for the software engineer and it represents one
of the key pieces of software product line engineering. When a
software system grow fast, configuring a product becomes a costly
and error-prone activity due to the amount of features available
for configuration. This process becomes more complex when for
each feature, there is more than one component that implements it.
Currently the tools available for configuration management do not
have automated mechanisms to facilitate the optimal components
selection that meet the functions required by a given product. In this
paper, we introduce a prototype component-based recommender
system called RESDEC (REcommender System that suggest imple mentation Components from selecteD fEatures) designed to manage
the best implementation components alternatives. Our tool is vali dated using WordPress-based websites where the implementation
components are represented by plugins and the recommendations
generated by RESDEC help interested parties in the search and
efficient plugins selection to configure websites. | es |
dc.format | application/pdf | es |
dc.format.extent | 4 | es |
dc.language.iso | eng | es |
dc.publisher | ACM: Association for Computing Machinery | es |
dc.relation.ispartof | SPLC 2019: 23rd International Systems and Software Product Line Conference (2019), pp. 33-36. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Implementation components | es |
dc.subject | Software product lines | es |
dc.subject | Recommender systems | es |
dc.subject | WordPress | es |
dc.title | RESDEC: Online Management Tool for Implementation Components Selection in Software Product Lines Using Recommender Systems | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | 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.publisherversion | https://dl.acm.org/doi/10.1145/3307630.3342390 | es |
dc.identifier.doi | 10.1145/3307630.3342390 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.publication.initialPage | 33 | es |
dc.publication.endPage | 36 | es |
dc.eventtitle | SPLC 2019: 23rd International Systems and Software Product Line Conference | es |
dc.eventinstitution | Paris, France | es |
dc.relation.publicationplace | New York, USA | es |