Automatic generation of combinatorial test data

Autori

• Jian Zhang

Parametri

• Computer, IT, programmazione
• Springer briefs in computer science

Maggiori informazioni sul libro

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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Lingua: Inglese

Pubblicato: 2014