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Supporting the Statistical Analysis of Variability Models

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dc.contributor.authorMayr Dorn, Christoph
dc.contributor.authorEgyed, Alexander
dc.contributor.authorHeradio Gil, Rubén
dc.contributor.authorFernández Amoros, David José
dc.date.accessioned2024-06-11T15:22:37Z
dc.date.available2024-06-11T15:22:37Z
dc.date.issued2019-08-26
dc.description.abstractVariability models are broadly used to specify the configurable features of highly customizable software. In practice, they can be large, defining thousands of features with their dependencies and conflicts. In such cases, visualization techniques and automated analysis support are crucial for understanding the models. This paper contributes to this line of research by presenting a novel, probabilistic foundation for statistical reasoning about variability models. Our approach not only provides a new way to visualize, describe and interpret variability models, but it also supports the improvement of additional state-of-the-art methods for software product lines; for instance, providing exact computations where only approximations were available before, and increasing the sensitivity of existing analysis operations for variability models. We demonstrate the benefits of our approach using real case studies with up to 17,365 features, and written in two different languages (KConfig and feature models).en
dc.description.versionversión original
dc.identifier.urihttps://hdl.handle.net/20.500.14468/22476
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.keywordsVariability modeling
dc.subject.keywordsfeature modeling
dc.subject.keywordssoftware product lines
dc.subject.keywordssoftware visualization
dc.subject.keywordsbinary decision diagrams
dc.titleSupporting the Statistical Analysis of Variability Modelses
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublication38af03ae-439e-45a8-8383-80340d20f7cb
relation.isAuthorOfPublication60bb7374-7021-4fda-b2cb-ef7f923c64f4
relation.isAuthorOfPublication.latestForDiscovery38af03ae-439e-45a8-8383-80340d20f7cb
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