Feature models are a widely used modeling notation for variability and commonality management in software product line (SPL) engineering. In order to keep an SPL and its feature model aligned, feature models must be changed by including/excluding new features and products, either because faults in the model are found or to reflect the normal evolution of the SPL. The modification of the feature model to be made to satisfy these change requirements can be complex and error-prone. In this paper, we present a method that is able to automatically update a feature model in order to satisfy a given update request. The method is based on an evolutionary algorithm that iteratively applies structure-preserving mutations to the original model, until the model is completely updated or some other termination condition occurs. Among all the possible models achieving the update request, the method privileges those structurally simpler. We evaluate the approach on real-world feature models; although it does not guarantee to completely update all the possible feature models, empirical analysis shows that, on average, around 89% of requested changes are applied.

(2019). Achieving change requirements of feature models by an evolutionary approach [journal article - articolo]. In THE JOURNAL OF SYSTEMS AND SOFTWARE. Retrieved from http://hdl.handle.net/10446/150850

Achieving change requirements of feature models by an evolutionary approach

Arcaini, Paolo;Gargantini, Angelo;Radavelli, Marco
2019

Abstract

Feature models are a widely used modeling notation for variability and commonality management in software product line (SPL) engineering. In order to keep an SPL and its feature model aligned, feature models must be changed by including/excluding new features and products, either because faults in the model are found or to reflect the normal evolution of the SPL. The modification of the feature model to be made to satisfy these change requirements can be complex and error-prone. In this paper, we present a method that is able to automatically update a feature model in order to satisfy a given update request. The method is based on an evolutionary algorithm that iteratively applies structure-preserving mutations to the original model, until the model is completely updated or some other termination condition occurs. Among all the possible models achieving the update request, the method privileges those structurally simpler. We evaluate the approach on real-world feature models; although it does not guarantee to completely update all the possible feature models, empirical analysis shows that, on average, around 89% of requested changes are applied.
articolo
Arcaini, Paolo; Gargantini, Angelo; Radavelli, Marco
(2019). Achieving change requirements of feature models by an evolutionary approach [journal article - articolo]. In THE JOURNAL OF SYSTEMS AND SOFTWARE. Retrieved from http://hdl.handle.net/10446/150850
File allegato/i alla scheda:
File Dimensione del file Formato  
vamos2018_SI_preprintVersion.pdf

embargo fino al 01/02/2021

Versione: postprint - versione referata/accettata senza referaggio
Licenza: Creative commons
Dimensione del file 385.4 kB
Formato Adobe PDF
385.4 kB Adobe PDF Visualizza/Apri
1-s2.0-S0164121219300056-main.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 1.08 MB
Formato Adobe PDF
1.08 MB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/150850
Citazioni
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 8
social impact