alm13b

@inproceedings{ALM13b,
	Abstract = {Companies often develop a set of software variants that share some features and differ in other ones to meet spe- cific requirements. To exploit existing software variants and build a software product line (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 from the object-oriented source code of a set of software variants based on Formal Concept Analysis and Latent Semantic Indexing. To vali- date our approach, we applied it on ArgoUML and Mobile Media case studies. The results of this evaluation validate the relevance and the performance of our proposal as most of the features were correctly identified.},
	Address = {Boston, USA},
	Annote = {A.R. 29,2\%},
	Author = {Rafat AL-Msie'deen and Abdelhak Djamel Seriai and Marianne Huchard and Christelle Urtado and Sylvain Vauttier and Hamzeh Eyal Salman},
	Booktitle = {Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering (SEKE 2013)},
	Date-Added = {2012-12-10 16:05:55 +0100},
	Date-Modified = {2014-09-30 15:57:03 +0000},
	Keywords = {evolution / versions; object; features / product lines},
	Month = {June},
	Pages = {244--249},
	Title = {Mining features from the object-oriented source code of a collection of software variants using Formal Concept Analysis and Latent Semantic Indexing},
	Year = {2013}}