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.
Autorius: | Jian Zhang, Feifei Ma, Zhiqiang Zhang, |
Serija: | SpringerBriefs in Computer Science |
Leidėjas: | Springer Berlin Heidelberg |
Išleidimo metai: | 2014 |
Knygos puslapių skaičius: | 104 |
ISBN-10: | 3662434288 |
ISBN-13: | 9783662434284 |
Formatas: | Knyga minkštu viršeliu |
Kalba: | Anglų |
Žanras: | Software Engineering |
Parašykite atsiliepimą apie „Automatic Generation of Combinatorial Test Data“