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Comparative analysis of classical multi-objective evolutionary algorithms and seeding strategies for pairwise testing of Software Product Lines
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
Software Product Lines (SPLs) are families of related software products, each with its own set of feature combinations. Their commonly large number of products poses a unique set of challenges for software testing as it might not be technologically or economically feasible to test of all them individually. SPL pairwise testing aims at selecting a set of products to test such that all possible combinations of two features are covered by at least one selected product. Most approaches for SPL
doi:10.1109/cec.2014.6900473
dblp:conf/cec/Lopez-HerrejonFCEA14
fatcat:y4rmxspsxvfxre7tpggndgitte