Name suggestions during feature identification: the variclouds approach - Sorbonne Université Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Name suggestions during feature identification: the variclouds approach

Résumé

Reengineering a Software Product Line from legacy variants remains a challenging endeavour. Among various challenges , it is a complex task to retrieve enough information for inferring the variability from experts' domain knowledge and from the semantics of software elements. We propose the VariClouds process that can be leveraged by domain experts to understand the semantics behind the different blocks identified during software variants analysis. VariClouds is based on interactive word cloud visualisations providing name suggestions for these blocks using tf-idf as weighting factor. We evaluate our approach by assessing its added-value to several previous works in the literature where no tool support was provided to domain experts to characterise features from software blocks.
Fichier principal
Vignette du fichier
Martinez_2016_Name_Suggestions.pdf (495.41 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01375389 , version 1 (03-10-2016)

Identifiants

Citer

Jabier Martinez, Tewfik Ziadi, Tegawendé Bissyandé, Jacques Klein, Yves Le Traon. Name suggestions during feature identification: the variclouds approach. SPLC '16 - 20th International Systems and Software Product Line Conference , Sep 2016, Beijing, China. pp.119-123, ⟨10.1145/2934466.2934480⟩. ⟨hal-01375389⟩
277 Consultations
233 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More