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dc.contributor.editorGalindo Duarte, José Ángeles
dc.creatorGalindo Duarte, José Ángeles
dc.creatorBenavides Cuevas, David Felipees
dc.creatorTrinidad Martín Arroyo, Pabloes
dc.creatorGutiérrez Fernández, Antonio Manueles
dc.creatorRuiz Cortés, Antonioes
dc.date.accessioned2018-09-04T10:51:52Z
dc.date.available2018-09-04T10:51:52Z
dc.date.issued2018
dc.identifier.citationGalindo Duarte, J.Á., Benavides Cuevas, D.F., Trinidad Martín Arroyo, P., Gutiérrez Fernández, A.M. y Ruiz Cortés, A. (2018). Automated analysis of feature models: Quo vadis?. Computing, (2018), 1-47.
dc.identifier.issn0010-485Xes
dc.identifier.urihttps://hdl.handle.net/11441/78317
dc.description.abstractFeature models have been used since the 90's to describe software product lines as a way of reusing common parts in a family of software systems. In 2010, a systematic literature review was published summarizing the advances and settling the basis of the area of Automated Analysis of Feature Models (AAFM). From then on, different studies have applied the AAFM in different domains. In this paper, we provide an overview of the evolution of this field since 2010 by performing a systematic mapping study considering 423 primary sources. We found six different variability facets where the AAFM is being applied that define the tendencies: product configuration and derivation; testing and evolution; reverse engineering; multi-model variability-analysis; variability modelling and variability-intensive systems. We also confirmed that there is a lack of industrial evidence in most of the cases. Finally, we present where and when the papers have been published and who are the authors and institutions that are contributing to the field. We observed that the maturity is proven by the increment in the number of journals published along the years as well as the diversity of conferences and workshops where papers are published. We also suggest some synergies with other areas such as cloud or mobile computing among others that can motivate further research in the future.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2015-70560-Res
dc.description.sponsorshipJunta de Andalucía TIC-1867es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofComputing, (2018), 1-47.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFeature modelses
dc.subjectconfigurationes
dc.subjectautomated analysises
dc.subjectsoftware product lineses
dc.titleAutomated analysis of feature models: Quo vadis?es
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2015-70560-Res
dc.relation.projectIDTIC-1867es
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s00607-018-0646-1es
dc.identifier.doi10.1007/s00607-018-0646-1es
dc.contributor.groupUniversidad de Sevilla. TIC205: Ingeniería del Software Aplicadaes
idus.format.extent47es
idus.validador.notaEstá aceptado y con DOI asignadoes
dc.journaltitleComputinges
dc.publication.volumen(2018)es
dc.publication.initialPage1es
dc.publication.endPage47es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). España
dc.contributor.funderJunta de Andalucía

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