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Model-Based Software Testing and Analysis with C#

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Paperback | 21 January 2008

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366 Pages

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24.41 x 16.99 x 1.93

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This book teaches model-based analysis and model-based testing, with important new ways to write and analyze software specifications and designs, generate test cases, and check the results of test runs. These methods increase the automation in each of these steps, making them more timely, more thorough, and more effective. Using a familiar programming language, testers and analysts will learn to write models that describe how a program is supposed to behave. The authors work through several realistic case studies in depth and detail, using a toolkit built on the C# language and the .NET framework. Readers can also apply the methods in analyzing and testing systems in many other languages and frameworks. Intended for professional software developers including testers, and for university students, this book is suitable for courses on software engineering, testing, specification, or applications of formal methods.

Industry Reviews

"This is a fascinating and well-written book. The writing style is highly readable and the authors wear their learning lightly. I warmly recommend this book." Software Engineering Notes

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Programming & Scripting Languages Software Engineering Software Testing & Verification

Preface	p. xi
Acknowledgments	p. xv
Overview
Describe, Analyze, Test	p. 3
Model programs	p. 4
Model-based analysis	p. 5
Model-based testing	p. 7
Model programs in the software process	p. 8
Syllabus	p. 11
Why We Need Model-Based Testing	p. 13
Client and server	p. 13
Protocol	p. 14
Sockets	p. 15
Libraries	p. 15
Applications	p. 20
Unit testing	p. 23
Some simple scenarios	p. 25
A more complex scenario	p. 27
Failures in the field	p. 28
Failures explained	p. 29
Lessons learned	p. 29
Model-based testing reveals the defect	p. 30
Exercises	p. 31
Why We Need Model-Based Analysis	p. 32
Reactive system	p. 32
Implementation	p. 34
Unit testing	p. 41
Failures in simulation	p. 44
Design defects	p. 46
Reviews and inspections, static analysis	p. 47
Model-based analysis reveals the design errors	p. 47
Exercises	p. 52
Further Reading	p. 53
Systems with Finite Models
Model Programs	p. 57
States, actions, and behavior	p. 57
Case study: user interface	p. 59
Preliminary analysis	p. 61
Coding the model program	p. 64
Simulation	p. 70
Case study: client/server	p. 72
Case study: reactive program	p. 82
Other languages and tools	p. 92
Exercises	p. 93
Exploring and Analyzing Finite Model Programs	p. 94
Finite state machines	p. 94
Exploration	p. 99
Analysis	p. 106
Exercise	p. 114
Structuring Model Programs with Features and Composition	p. 115
Scenario control	p. 115
Features	p. 117
Composition	p. 121
Choosing among options for scenario control	p. 129
Composition for analysis	p. 131
Exercises	p. 136
Testing Closed Systems	p. 137
Offline test generation	p. 137
Traces and terms	p. 139
Test harness	p. 142
Test execution	p. 146
Limitations of offline testing	p. 147
Exercises	p. 148
Further Reading	p. 150
Systems with Complex State
Modeling Systems with Structured State	p. 155
"Infinite" model programs	p. 155
Types for model programs	p. 157
Compound values	p. 157
Case study: revision control system	p. 169
Exercises	p. 181
Analyzing Systems with Complex State	p. 183
Explorable model programs	p. 183
Pruning techniques	p. 186
Sampling	p. 190
Exercises	p. 190
Testing Systems with Complex State	p. 191
On-the-fly testing	p. 192
Implementation, model and stepper	p. 194
Strategies	p. 199
Coverage-directed strategies	p. 203
Advanced on-the-fly settings	p. 210
Exercises	p. 218
Further Reading	p. 219
Advanced Topics
Compositional Modeling	p. 223
Modeling protocol features	p. 223
Motivating example: a client/server protocol	p. 224
Properties of model program composition	p. 241
Modeling techniques using composition and features	p. 245
Exercises	p. 246
Modeling Objects	p. 247
Instance variables as field maps	p. 247
Creating instances	p. 249
Object IDs and composition	p. 253
Harnessing considerations for objects	p. 254
Abstract values and isomorphic states	p. 256
Exercises	p. 257
Reactive Systems	p. 259
Observable actions	p. 259
Nondeterminism	p. 261
Asynchronous stepping	p. 264
Partial explorability	p. 265
Adaptive on-the-fly testing	p. 268
Partially ordered runs	p. 272
Exercises	p. 274
Further Reading	p. 275
Appendices
Modeling Library Reference	p. 281
Attributes	p. 282
Data types	p. 292
Action terms	p. 306
Command Reference	p. 308
Model program viewer, mpv	p. 308
Offline test generator, otg	p. 311
Conformance tester, ct	p. 312
Glossary	p. 315
Bibliography	p. 333
Index	p. 341
Table of Contents provided by Ingram. All Rights Reserved.

Model-Based Software Testing and Analysis with C#

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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