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

Von:

Zhang, Jian [aut]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerBriefs in Computer Science | SpringerLink BücherVerlag: Berlin, Heidelberg ; s.l. : Springer Berlin Heidelberg, 2014Beschreibung: Online-Ressource (XI, 90 p. 31 illus, online resource)ISBN:

9783662434291

Schlagwörter:

Andere physische Formen: 9783662434284 | Erscheint auch als: Automatic generation of combinatorial test data. Druck-Ausgabe Heidelberg [u.a.] : Springer, 2014. XI, 90 S.DDC-Klassifikation:

005.1

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

QA76.758

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

Inhalte:

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.

Zusammenfassung: 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

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