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Automatic Generation of Combinatorial Test Data
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Artikel-Nr:
9783662434291
Veröffentl:
2014
Einband:
eBook
Seiten:
90
Autor:
Jian Zhang
Serie:
SpringerBriefs in Computer Science
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.
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.