Automatic Generation of Combinatorial Test Data

By: Jian Zhang, Zhiqiang Zhang, Feifei Ma

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Paperback | 29 September 2014

At a Glance

Paperback
108 Pages

Dimensions(cm)
22.86 x 15.24 x 0.64

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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.

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