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Anotace knihy

Combinatorial testing has been demonstrated to significantly reduce the cost and increase the effectiveness of software and system testing, especially for software systems invloving a number of interacting components or parameters. One of the key elements of combinatorial testing consists in automatically finding a small set of test cases that achieves certain coverage. This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation.§

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Mathematical theory of computation

• Plný název: Automatic Generation of Combinatorial Test Data
• Autor: Jian Zhang, Zhiqiang Zhang, Feifei Ma
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 90
• EAN: 9783662434284
• ISBN: 3662434288
• ID: 02725588
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 1708 g
• Rozměry: 235 × 155 × 7 mm
• Datum vydání: 16. September 2014

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