This book 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

Key Features

* 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


All those involved in software testing activities, including software test engineers who are in charge of test case design and development, software developers who are looking for better and more automated testing methods, and project managers who lead development teams and who ensure high quality software is produced.

Table of Contents

1 The Challenge; 2 The Pain and the Gain; 3 A Model of your System; 4 Selecting your Tests; 5 Testing from Finite State Machines; 6 Testing from Pre/Post Models; 7 Testing from UML Models; 8 Making Tests Executable; 9 The GSM 11.11 Case Study; 10 The ATM Case Study; 11 Putting it into Practice; Appendix; Index


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© 2007
Morgan Kaufmann
Print ISBN:
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"This topic is hot...and both authors are well known experts in the community of model-based testing." —Wolfgang Grieskamp, Microsoft Research