Zhang, Jian. <br/><br/>
Automatic Generation of Combinatorial Test Data  [electronic resource] / 
by Jian Zhang, Zhiqiang Zhang, Feifei Ma. 
 - XI, 90 p. 31 illus.  online resource. 
 - SpringerBriefs in Computer Science,  2191-5768 .
 - SpringerBriefs in Computer Science, .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783662434291 
<br/><br/><label>Standard No.: </label>10.1007/978-3-662-43429-1  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Software engineering.<br/>Computer science--Mathematics.<br/>Artificial intelligence.<br/>Computer Science.<br/>Software Engineering.<br/>Math Applications in Computer Science.<br/>Artificial Intelligence (incl. Robotics).
<br/><br/><label>LC Class. No.: </label>QA76.758 
<br/><br/><label>Dewey Class. No.: </label>005.1