Practical Model-Based Testing : A Tools Approach

Mark Utting

ISBN 10: 0123725011 / ISBN 13: 9780123725011

Published by Elsevier Science, 2006

About this Item

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.

Seller Inventory # 9780123725011

Bibliographic Details

• Title: Practical Model-Based Testing : A Tools Approach
• Publisher: Elsevier Science
• Publication Date: 2006
• Language: English
• ISBN 10: 0123725011
• ISBN 13: 9780123725011
• Binding: Buch
• Condition: Neu
• Dimensions: 246W x 194H x 32D millimeters 246 millimeters width by 194 millimeters height by 32 millimeters depth
• Weight: 1156 grams

About this title

Synopsis

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

• Presents the basic principles and terminology of model-based testing
• Shows how model-based testing fits into the software lifecycle, its cost-effectiveness, and how it can reduce time to market
• Offers guidance on how to use different kinds of modeling techniques, useful test generation strategies, how to apply model-based testing techniques to real applications using case studies

Book Description

The first developer guide to Model-Based Testing