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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...

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Detalles Bibliográficos
Autores Principales: Zhang, Jian. (Autor, http://id.loc.gov/vocabulary/relators/aut), Zhang, Zhiqiang. (http://id.loc.gov/vocabulary/relators/aut), Ma, Feifei. (http://id.loc.gov/vocabulary/relators/aut)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Series:SpringerBriefs in Computer Science,
Materias:
Software engineering.
Computer science—Mathematics.
Artificial intelligence.
Software Engineering.
Math Applications in Computer Science.
Artificial Intelligence.
Acceso en línea:https://doi.org/10.1007/978-3-662-43429-1
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Tabla de Contenidos:
  • 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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