Documenting the Mined Feature Implementations from the Object-oriented Source Code of a Collection of Software Product Variants

Ra'Fat Ahmad Al-Msie'Deen 1 Abdelhak-Djamel Seriai 1 Marianne Huchard 1 Christelle Urtado 2 Sylvain Vauttier 2
1 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production
Abstract : Companies often develop a set of software variants that share some features and differ in other ones to meet specific requirements. To exploit existing software variants and build a Software Product Line (SPL), a Feature Model (FM) of this SPL must be built as a first step. To do so, it is necessary to mine optional and mandatory features in addition to associating the FM with its documentation. In our previous work, we mined a set of feature implementations as identified sets of source code elements. In this paper, we propose a complementary approach, which aims to document the mined feature implementations by giving them names and descriptions, based on the source code elements that form feature implementations and use-case diagrams of software variants. The novelty of our approach is that it exploits commonality and variability across software variants, at feature implementations and use-cases levels, to run Information Retrieval methods in an efficient way. To validate our approach, we applied it on Mobile media and ArgoUML-SPL case studies. The results of this evaluation showed that most of the features have been documented correctly.
Keywords : Use-case diagram Relational Concept Analysis Formal Concept Analysis Latent Semantic Indexing Software variants Software Product Line Feature documentation Code comprehension
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Submitted on : Tuesday, June 10, 2014 - 6:03:43 PM
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Ra'Fat Ahmad Al-Msie'Deen, Abdelhak-Djamel Seriai, Marianne Huchard, Christelle Urtado, Sylvain Vauttier. Documenting the Mined Feature Implementations from the Object-oriented Source Code of a Collection of Software Product Variants. SEKE: Software Engineering and Knowledge Engineering, Knowledge Systems Institute, Jul 2014, Vancouver, Canada. pp.138-143. ⟨lirmm-01003860⟩

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