Isolated Features Detection in Feature Models

dc.creator	Trinidad Martín Arroyo, Pablo
dc.creator	Benavides Cuevas, David Felipe
dc.creator	Ruiz Cortés, Antonio
dc.date.accessioned	2015-06-29T14:55:31Z
dc.date.available	2015-06-29T14:55:31Z
dc.date.issued	2006
dc.identifier.other	http://ceur-ws.org/Vol-231/Paper19.pdf
dc.identifier.uri	http://hdl.handle.net/11441/26363
dc.description.abstract	Feature models are commonly used to describe software product lines in terms of features. Features are linked by relations, which may introduce errors in the model. This paper gives a description of isolated features and states the detection of them, as the first step in their treatment. Two implementations are given to automatically support isolated features detection and a third one that uses both and improves the performance.
dc.format	application/pdf
dc.language.iso	eng
dc.relation.ispartof	International Conference on Advanced Information System Engineering, 2006, Luxemburgo
dc.rights	Atribución-NoComercial-SinDerivadas 4.0 España
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0
dc.title	Isolated Features Detection in Feature Models
dc.type	info:eu-repo/semantics/conferenceObject
dcterms.identifier	https://ror.org/03yxnpp24
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
dc.identifier.idus	https://idus.us.es/xmlui/handle/11441/26363

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