Mining Features from the Object-Oriented Source Code of Software Variants by Combining Lexical and Structural Similarity

Abstract : Migrating software product variants which are deemed similar into a product line is a challenging task with main impact in software reengineering. To exploit existing software variants to build a software product line (SPL), the first step is to mine the feature model of this SPL which involves extracting common and optional features. Thus, we propose, in this paper, a new approach to mine features from the object-oriented source code of software variants by using lexical and structural similarity. To validate our approach, we applied it on ArgoUML, Health Watcher and Mobile Media software. The results of this evaluation showed that most of the features were identified.
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IRI: Information Reuse and Integration, Aug 2013, Las Vegas, NV, United States. 14th International Conference on Information Reuse and Integration, pp.586-593, 2013, 〈http://www.sis.pitt.edu/~iri2013/〉. 〈10.1109/IRI.2013.6642522〉
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Contributeur : Ra'Fat Al-Msie'Deen <>
Soumis le : lundi 16 septembre 2013 - 23:03:33
Dernière modification le : jeudi 24 mai 2018 - 15:59:22
Document(s) archivé(s) le : jeudi 6 avril 2017 - 21:06:56

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Ra'Fat Ahmad Al-Msie'Deen, Abdelhak-Djamel Seriai, Marianne Huchard, Christelle Urtado, Sylvain Vauttier. Mining Features from the Object-Oriented Source Code of Software Variants by Combining Lexical and Structural Similarity. IRI: Information Reuse and Integration, Aug 2013, Las Vegas, NV, United States. 14th International Conference on Information Reuse and Integration, pp.586-593, 2013, 〈http://www.sis.pitt.edu/~iri2013/〉. 〈10.1109/IRI.2013.6642522〉. 〈lirmm-00862512〉

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