Mining Feature Models from the Object-Oriented Source Code of a Collection of Software Product Variants

Ra'Fat Ahmad Al-Msie'Deen 1
1 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In order to migrate software product variants which are considered similar into a software product line (SPL), it is essential to identify the mandatory and optional features between the product variants. To exploit existing software variants and build a SPL, a feature model of this SPL must be built as a first step. To do so, it is necessary to mine optional and mandatory features from the source code of the software variants. Thus, we propose, in this paper, a new approach to mine features and feature models from the object-oriented source code of a set of software variants based on Formal Concept Analysis and Latent Semantic Indexing.
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Ra'Fat Ahmad Al-Msie'Deen. Mining Feature Models from the Object-Oriented Source Code of a Collection of Software Product Variants. ECOOP: European Conference on Object-Oriented Programming, Jul 2013, Montpellier, France. pp.1-10. ⟨lirmm-01004928⟩

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