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dc.creatorKhandu Narwane, Ganeshes
dc.creatorGalindo Duarte, José Ángeles
dc.creatorNarayanan Krishna, Shankaraes
dc.creatorBenavides Cuevas, David Felipees
dc.creatorMillo, Jean-Vivienes
dc.creatorRamesh, S.es
dc.date.accessioned2016-11-14T09:54:23Z
dc.date.available2016-11-14T09:54:23Z
dc.date.issued2016
dc.identifier.citationKhandu Narwane, G., Galindo, J.A., Narayanan Krishna, S., Benavides Cuevas, D.F., Millo, J. y Ramesh, S. (2016). Traceability Analyses between Features and Assets in Software Product Lines. Entropy, 18 (8), 1-31.
dc.identifier.issn1099-4300es
dc.identifier.urihttp://hdl.handle.net/11441/48516
dc.description.abstractIn a Software Product Line (SPL), the central notion of implementability provides the requisite connection between specifications and their implementations, leading to the definition of products. While it appears to be a simple extension of the traceability relation between components and features, it involves several subtle issues that were overlooked in the existing literature. In this paper, we have introduced a precise and formal definition of implementability over a fairly expressive traceability relation. The consequent definition of products in the given SPL naturally entails a set of useful analysis problems that are either refinements of known problems or are completely novel. We also propose a new approach to solve these analysis problems by encoding them as Quantified Boolean Formulae (QBF) and solving them through Quantified Satisfiability (QSAT) solvers. QBF can represent more complex analysis operations, which cannot be represented by using propositional formulae. The methodology scales much better than the SAT-based solutions hinted in the literature and were demonstrated through a tool called SPLAnE (SPL Analysis Engine) on a large set of SPL models.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2015-70560-Res
dc.description.sponsorshipJunta de Andalucía P12-TIC-1867es
dc.description.sponsorshipJunta de Andalucía P10-TIC-5906es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofEntropy, 18 (8), 1-31.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectsoftware product linees
dc.subjectfeature modeles
dc.subjectformal methodses
dc.subjectQBFes
dc.subjectSATes
dc.titleTraceability Analyses between Features and Assets in Software Product Lineses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TIN2015-70560-Res
dc.relation.projectIDP12-TIC-1867es
dc.relation.projectIDP10-TIC-5906es
dc.relation.publisherversionhttp://www.mdpi.com/1099-4300/18/8/269es
dc.identifier.doi10.3390/e18080269es
idus.format.extent31 p.es
dc.journaltitleEntropyes
dc.publication.volumen18es
dc.publication.issue8es
dc.publication.initialPage1es
dc.publication.endPage31es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/48516

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