Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 19,24
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Librería: Bay State Book Company, North Smithfield, RI, Estados Unidos de America
EUR 22,77
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Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 50,80
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Añadir al carritoHardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Idioma: Inglés
Publicado por Morgan Kaufmann 2007-03-14, 2007
ISBN 10: 0123725011 ISBN 13: 9780123725011
Librería: Chiron Media, Wallingford, Reino Unido
EUR 61,39
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Añadir al carritoHardcover. Condición: New.
EUR 69,86
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 433 pages. 9.50x7.75x1.25 inches. In Stock.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 67,65
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 87,08
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Practical Model-Based Testing gives a practical introduction to model-based testing, showing how to write models for testing purposes and how to use model-based testing tools to generate test suites. It is aimed at testers and software developers who wish to use model-based testing, rather than at tool-developers or academics. The book focuses on the mainstream practice of functional black-box testing and covers different styles of models, especially transition-based models (UML state machines) and pre/post models (UML/OCL specifications and B notation). The steps of applying model-based testing are demonstrated on examples and case studies from a variety of software domains, including embedded software and information systems. From this book you will learn: The basic principles and terminology of model-based testing How model-based testing differs from other testing processes How model-based testing fits into typical software lifecycles such as agile methods and the Unified Process The benefits and limitations of model-based testing, its cost effectiveness and how it can reduce time-to-market A step-by-step process for applying model-based testing How to write good models for model-based testing How to use a variety of test selection criteria to control the tests that are generated from your models How model-based testing can connect to existing automated test execution platforms such as Mercury Test Director, Java JUnit, and proprietary test execution environments.