Publication | Closed Access
Feature Location in a Collection of Product Variants
75
Citations
28
References
2012
Year
Unknown Venue
Software MaintenanceEngineeringProduct VariantsSoftware EngineeringFeature LocationSoftware AnalysisInformation RetrievalData ScienceData MiningPattern RecognitionCombinatorial OptimizationFeature EngineeringKnowledge DiscoveryFeature ModelingSoftware Product LineProduct ModelingComputer ScienceFeature ConstructionSoftware DesignProgram AnalysisSoftware TestingProduct Line EngineeringSystem Software
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.
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