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• W2895559780 abstract "In object-oriented evolutionary testing, metaheuristics are employed to select or generate test data for object-oriented software. Techniques that analyse program structures are predominant among the panoply of studies available in current literature. For object-oriented evolutionary testing, the common objective is to reach some coverage criteria, usually in the form of statement or branch coverage. This chapter explores, reviews, and contextualizes relevant literature, tools, and techniques in this area, while identifying open problems and setting ground for future work." @default.
• W2895559780 created "2018-10-12" @default.
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• W2895559780 date "2018-01-01" @default.
• W2895559780 modified "2023-10-16" @default.
• W2895559780 title "Evolutionary Approaches to Test Data Generation for Object-Oriented Software" @default.
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• W2895559780 doi "https://doi.org/10.4018/978-1-5225-5020-4.ch006" @default.
• W2895559780 hasPublicationYear "2018" @default.
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