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dc.contributor.authorVidal-Silva, Cristian
dc.date.accessioned2019-09-12T19:30:05Z
dc.date.available2019-09-12T19:30:05Z
dc.date.issued2019
dc.identifier.issn2319-7064
dc.identifier.other10.14569/IJACSA.2019.0100168
dc.identifier.urihttps://hdl.handle.net/20.500.12536/317
dc.description.abstractA Feature Model (FM) is an information model to represent commonalities and variabilities for all the products of a Software Product Line (SPL). The complexity and big size of real feature models makes their manual analysis for determining the product configurations validity a tedious or even infeasible task. Efficient solutions for the diagnosis of errors in the Automated Analysis of Feature Models (AAFM) already exist such as FMDiag and FlexDiag. Thus, this work describes the fundamental basis for both diagnosis algorithms to apply the first of them on the validity of FM product configurations. The results highlight the applicability and efficiency of FMDiag and invite us to look for additional applications of that algorithm in the AAFM scenarios.es_ES
dc.language.isoeses_ES
dc.source(IJACSA) International Journal of Advanced Computer Science and Applications
dc.subjectAAFMes_ES
dc.subjectFeature modeles_ES
dc.subjectValid productes_ES
dc.subjectValid configurationes_ES
dc.subjectFMDiages_ES
dc.subjectFlexDiages_ES
dc.titleReviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Modelses_ES
dc.typeArtículo de revistaes_ES
uvm.escuelaEscuela de Ingeniería y Negocioses_ES
uvm.indexScopus


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