Cantitate/Preț
Produs

Automatic Generation of Combinatorial Test Data: SpringerBriefs in Computer Science

Autor Jian Zhang, Zhiqiang Zhang, Feifei Ma
en Limba Engleză Paperback – 29 sep 2014
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.
Citește tot Restrânge

Din seria SpringerBriefs in Computer Science

Preț: 31395 lei

Preț vechi: 39244 lei
-20% Nou

Puncte Express: 471

Preț estimativ în valută:
6008 6319$ 5005£

Carte tipărită la comandă

Livrare economică 03-17 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783662434284
ISBN-10: 3662434288
Pagini: 100
Ilustrații: XI, 90 p. 31 illus.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.16 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Notă biografică

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.

Caracteristici

Reviews the state-of-the-art of automatic data generation methods for combinatorial testing Presents step-by-step procedures for important algorithms of automatic data generation Introduces exhaustively the key techniques for test data generation, including evolutionary computation, constraint solving and optimization Covers recent hot topics like fault localization, test case prioritization Includes supplementary material: sn.pub/extras