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Automatic Generation of Combinatorial Test Data

par Zhang, Jian. Collection : SpringerBriefs in Computer Science, 2191-5768 Détails physiques : XI, 90 p. 31 illus. online resource. ISBN :9783662434291.
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Exemplaires : http://dx.doi.org/10.1007/978-3-662-43429-1

Introduction to Combinatorial Testing -- Mathematical Construction Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics.

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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