Please use this identifier to cite or link to this item: https://doi.org/10.1109/WCRE.2012.24
Title: Feature location in a collection of product variants
Authors: Xue, Y. 
Xing, Z. 
Jarzabek, S. 
Keywords: feature location
formal concept analysis
latent semantic analysis
software differencing
software product variants
Issue Date: 2012
Source: Xue, Y.,Xing, Z.,Jarzabek, S. (2012). Feature location in a collection of product variants. Proceedings - Working Conference on Reverse Engineering, WCRE : 145-154. ScholarBank@NUS Repository. https://doi.org/10.1109/WCRE.2012.24
Abstract: Companies often develop and maintain a collection of product variants that share some common features but also support different, customer-specific features. To reengineering such legacy product variants for systematic reuse, one must identify features and their implementing code units (e.g. functions, files) in different product variants. Information retrieval (IR) techniques may be applied for that purpose. In this paper, we discuss problems that hinder direct application of IR techniques to a collection of product variants. To counter these problems, we present an approach to support effective feature location in product variants. The novelty of our approach is that we exploit commonalities and differences of product variants by software differencing and FCA techniques so that IR technique can achieve satisfactory results for feature location in product variants. We have implemented our approach and conducted evaluation with a collection of nine Linux kernel product variants. Our evaluation shows that our approach always significantly outperforms a direct application of IR technique in the subject product variants. © 2012 IEEE.
Source Title: Proceedings - Working Conference on Reverse Engineering, WCRE
URI: http://scholarbank.nus.edu.sg/handle/10635/41212
ISBN: 9780769548913
ISSN: 10951350
DOI: 10.1109/WCRE.2012.24
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