Extending Feature Models with Relative Cardinalities - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Extending Feature Models with Relative Cardinalities

Résumé

Feature modeling is widely used to capture and manage common-alities and variabilities in software product lines. Cardinality-based feature models are used when variability applies not only to the selection or exclusion of features but also to the number of times a feature can be included in a product. Feature cardinalities are usually considered to apply in either a local or global scope. However , we have identified that these interpretations are insufficient to capture the variability of cloud environments. In this paper, we redefine cardinality-based feature models to allow multiple relative cardinalities between features and we discuss the effects of relative cardinalities on feature modeling semantics, consistency and cross-tree constraints. To evaluate our approach we conducted an analysis of relative cardinalities in four cloud computing providers. In addition, we developed tools for reasoning on feature models with relative cardinalities and performed experiments to verify the performance and scalability of the approach. The results from our study indicate that extending feature models with relative cardinal-ities is feasible and improves variability modeling, particularly in the case of cloud environments.
Fichier principal
Vignette du fichier
SPLC_2016_paper_33 (2).pdf (1.61 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-01312751 , version 1 (11-05-2016)

Identifiants

Citer

Gustavo Sousa, Walter Rudametkin, Laurence Duchien. Extending Feature Models with Relative Cardinalities. 20th International Systems and Software Product Line Conference, Sep 2016, Beijing, China. ⟨10.1145/2934466.2934475⟩. ⟨hal-01312751⟩
244 Consultations
231 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More