Name suggestions during feature identification | Zendy

Jabier Martinez | Zendy; Tewfik Ziadi | Zendy; Tegawendé F. Bissyandé | Zendy; Jacques Klein | Zendy; Yves Le Traon | Zendy

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Name suggestions during feature identification

Author(s) -

Jabier Martinez,

Tewfik Ziadi,

Tegawendé F. Bissyandé,

Jacques Klein,

Yves Le Traon

Publication year - 2016

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2934466.2934480

Subject(s) - computer science , software product line , identification (biology) , semantics (computer science) , domain (mathematical analysis) , software , feature (linguistics) , process (computing) , business process reengineering , domain analysis , software engineering , information retrieval , data science , software development , artificial intelligence , software construction , programming language , engineering , mathematical analysis , linguistics , philosophy , botany , operations management , mathematics , lean manufacturing , biology

International audienceReengineering 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

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