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Book synopsis

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.§

Book details

Book category Books in English Computing & information technology Computer science Mathematical theory of computation

• Full title: Automatic Generation of Combinatorial Test Data
• Author: Jian Zhang, Zhiqiang Zhang, Feifei Ma
• Language: English
• Binding: Paperback
• Number of pages: 90
• EAN: 9783662434284
• ISBN: 3662434288
• ID: 02725588
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 1708 g
• Dimensions: 235 × 155 × 7 mm
• Date of publishing: 16. September 2014

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