Automatic Generation of Combinatorial Test Data

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 optimiz...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zhang, Jian (Συγγραφέας), Zhang, Zhiqiang (Συγγραφέας), Ma, Feifei (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Computer science.
Software engineering.
Computer science > Mathematics.
Artificial intelligence.
Computer Science.
Software Engineering.
Math Applications in Computer Science.
Artificial Intelligence (incl. Robotics).
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Zhang, Jian.  |e author. 
245 1 0 |a Automatic Generation of Combinatorial Test Data  |h [electronic resource] /  |c by Jian Zhang, Zhiqiang Zhang, Feifei Ma. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XI, 90 p. 31 illus.  |b online resource. 
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490 1 |a SpringerBriefs in Computer Science,  |x 2191-5768 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Software engineering. 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Software Engineering. 
650 2 4 |a Math Applications in Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Zhang, Zhiqiang.  |e author. 
700 1 |a Ma, Feifei.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783662434284 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5768 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-43429-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645) 

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