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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…mehr

Produktbeschreibung
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.
Autorenporträt
Jonathan Jacky is a research scientist at the University of Washington in Seattle. He is experienced in embedded control systems, safety-critical systems, signal processing, and scientific computing. He has taught at the Evergreen State College and has been a visiting researcher at Microsoft Research. He is the author of The Way of Z: Practical Programming with Formal Methods.
Rezensionen
"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