Automatic Generation of Combinatorial Test Data
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.
Reviews the state-of-the-art of automatic data generation methods for combinatorial testingPresents step-by-step procedures for important algorithms of automatic data generationIntroduces exhaustively the key techniques for test data generation, including evolutionary computation, constraint solving and optimizationCovers recent hot topics like fault localization, test case prioritization