Automatic Generation of Combinatorial Test Data / by Jian Zhang, Zhiqiang Zhang, Feifei Ma

By:

Zhang, Jian [aut]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink BücherPublisher: Berlin, Heidelberg ; s.l. : Springer Berlin Heidelberg, 2014Description: Online-Ressource (XI, 90 p. 31 illus, online resource)ISBN:

9783662434291

Subject(s):

Additional physical formats: 9783662434284 | Erscheint auch als: Automatic generation of combinatorial test data. Druck-Ausgabe Heidelberg [u.a.] : Springer, 2014. XI, 90 S.DDC classification:

005.1

MSC: MSC: *68-02 | 05B15 | 68M15 | 68N30 | 68R05 | 68T20RVK: RVK: ST 233LOC classification:

QA76.758

DOI: DOI: 10.1007/978-3-662-43429-1Online resources:

Contents:

Introduction to Combinatorial TestingMathematical Construction Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics.

Summary: 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 computationPPN: PPN: 165925941XPackage identifier: Produktsigel: ZDB-2-SCS

Holdings ( 0 )

No physical items for this record