dc.creator | Lettner, Michael | es |
dc.creator | Rodas, Jorge | es |
dc.creator | Galindo Duarte, José Ángel | es |
dc.creator | Benavides Cuevas, David Felipe | es |
dc.date.accessioned | 2022-11-24T12:34:34Z | |
dc.date.available | 2022-11-24T12:34:34Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Lettner, M., Rodas, J., Galindo Duarte, J.Á. y Benavides Cuevas, D.F. (2019). Automated analysis of two-layered feature models with feature attributes. Journal of Computer Languages, 51 (April 2019), 154-172. https://doi.org/10.1016/j.cola.2019.01.005. | |
dc.identifier.issn | 2590-1184 | es |
dc.identifier.uri | https://hdl.handle.net/11441/139747 | |
dc.description.abstract | The proliferation of features and platforms in variability intensive systems, coupled with substantial technolo-gical progress,
imposes several challenges for software developers and equipment manufacturers—in some cases referred as technical
sustainability. For instance, in the mobile application domain, developers often need to know the requirements and limitations of
their applications to be supported on a specific platform. Conversely, an equipment manufacturer is interested in knowing what
additional features become accessible on the appli-cation layer when the or platform is being upgraded. To date, analyzing such
interdependencies between specific feature and platform combinations is a tough problem, but important to solve. There are well established ap-proaches in the literature to analyze variability–intensive systems using feature models. However, there is a lack of
approaches to analyze application and platform features in multiple layers. In this paper we present a fra-mework towards the
analysis of multi-layered feature models. First, modeling the two layers including their respective interdependencies. Second, a
definition of operations that can be imposed on such models. We also provide a reference implementation for analysis of multiple
layers. Finally, we present two empirical evaluations demonstrating the feasibility of the approach in practice. | es |
dc.format | application/pdf | es |
dc.format.extent | 19 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Journal of Computer Languages, 51 (April 2019), 154-172. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Variability intensive systems | es |
dc.subject | Feature models | es |
dc.subject | Android | es |
dc.title | Automated analysis of two-layered feature models with feature attributes | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1045926X18302362?via%3Dihub | es |
dc.identifier.doi | 10.1016/j.cola.2019.01.005 | es |
dc.contributor.group | Universidad de Sevilla. TIC-258: Data-centric Computing Research Hub | es |
dc.journaltitle | Journal of Computer Languages | es |
dc.publication.volumen | 51 | es |
dc.publication.issue | April 2019 | es |
dc.publication.initialPage | 154 | es |
dc.publication.endPage | 172 | es |