Articoli correlati a 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.
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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. His research interests include automated reasoning, constraint solving, static analysis, software testing and formal methods. He has served on the program committee of about 60 international conferences; and also on the editorial boards of several journals (including the Journal of Computer Science and Technology, Frontiers of Computer Science). His research work has been supported by the National Science Fund for Distinguished Young Scholars. He is a senior member of ACM and IEEE.
Zhiqiang Zhang is a Ph.D. candidate in the Institute of Software, Chinese Academy of Sciences (ISCAS). He is interested in software testing and fault localization, especially those related to combinatorial testing. He has been awarded the National Scholarship for Graduate Students.
Feifei Ma is an associate research professor in the Institute of Software, Chinese Academy of Sciences (ISCAS). She got her Ph.D. degree (with honors) from ISCAS in 2010. She has obtained the Chu Yuet Wah Award for Outstanding graduate students. Her research interests include automated reasoning and constraint solving.
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.
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- EditoreSpringer
- Data di pubblicazione2014
- ISBN 10 3662434288
- ISBN 13 9783662434284
- RilegaturaCopertina flessibile
- Numero di pagine104
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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 104 pp. Englisch. Codice articolo 9783662434284
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Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783662434284
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Descrizione libro Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 genera. Codice articolo 5227404
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