Automatic Generation of Combinatorial Test Data by Jian ZhangAutomatic Generation of Combinatorial Test Data by Jian Zhang

Automatic Generation of Combinatorial Test Data

byJian Zhang, Zhiqiang Zhang, Feifei Ma

Paperback | September 29, 2014

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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.
Jian Zhang is a research professor in the Institute of Software, Chinese Academy of Sciences (ISCAS). He got his BS degree from the University of Science and Technology of China (USTC) in 1988 and his Ph.D. degree from ISCAS in 1994. He has served as a deputy director and the director of the (State) Key Laboratory of Computer Science. ...
Title:Automatic Generation of Combinatorial Test DataFormat:PaperbackDimensions:90 pagesPublished:September 29, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662434288

ISBN - 13:9783662434284

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Table of Contents

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.