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A scalable approach to exact model and commonality counting for extended feature models.

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dc.contributor.authorFernández Amoros, David José
dc.contributor.authorHeradio Gil, Rubén
dc.contributor.authorCerrada Somolinos, José Antonio
dc.contributor.authorCerrada Somolinos, Carlos
dc.date.accessioned2024-05-20T11:39:34Z
dc.date.available2024-05-20T11:39:34Z
dc.date.issued2014-05-29
dc.description.abstractA software product line is an engineering approach to efficient development of software product portfolios. Key to the success of the approach is to identify the common and variable features of the products and the interdependencies between them, which are usually modeled using feature models. Implicitly, such models also include valuable information that can be used by economic models to estimate the payoffs of a product line. Unfortunately, as product lines grow, analyzing large feature models manually becomes impracticable. This paper proposes an algorithm to compute the total number of products that a feature model represents and, for each feature, the number of products that implement it. The inference of both parameters is helpful to describe the standarization/parameterization balance of a product line, detect scope flaws, assess the product line incremental development, and improve the accuracy of economic models. The paper reports experimental evidence that our algorithm has better runtime performance than existing alternative approaches.en
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12378
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentIngeniería de Software y Sistemas Informáticos
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsfeature models
dc.subject.keywordsformal methods
dc.subject.keywordseconomic models
dc.subject.keywordssoftware product lines
dc.titleA scalable approach to exact model and commonality counting for extended feature models.es
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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relation.isAuthorOfPublication38af03ae-439e-45a8-8383-80340d20f7cb
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relation.isAuthorOfPublicationf9ebcf51-c844-4f6e-b2b0-6697f6c9b1f9
relation.isAuthorOfPublication.latestForDiscovery60bb7374-7021-4fda-b2cb-ef7f923c64f4
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