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Online magazine

Unit Testing:Principles, Practices and Patterns

Unit Testing: Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing. Unit Testing: Principles, Practices and Patterns is a practical guide to modern unit testing best practices. Microsoft MVP <b>Vladimir Khorikov</b> takes you hands-on with examples of the ideal unit test and unit testing practices, building your skills step by step on a solid foundation. <b> </b> <b>Key Features</b> · A universal frame of reference by which to assess any unit test · Common anti-patterns to identify and avoid · Guidelines on how to refactor a test suite along with the · production code it covers · Using integration tests to verify the behavior of the system as a whole For readers who know the basics of unit testing and want to improve their techniques to get the best return on their efforts. Examples are in C# but apply in any language <b>About the technology </b> Test automation has turned unit testing into a standard practice in software development. The right unit test suite gives great outcomes and is vital to delivering quality software. <b> </b> <b>Author Bio</b> <b>Vladimir Khorikov </b>is an author, blogger, and Microsoft MVP. He has been developing software professionally for over ten years, and has mentored numerous teams on the ins and outs of unit testing.
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paperbackEngels9789813083608 1-6-1998
This book concerns modern methods in scientific computing and linear algebra, relevant to image and signal processing. For these applications, it is important to consider ingredients such as: (1) sophisticated mathematical models of the problems, including a priori knowledge, (2) rigorous mathematical theories to understand the difficulties of solving problems which are ill-posed, and (3) fast algorithms for either real-time or data-massive computations.  Meer
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paperbackEngels9789813083844 1-2-2000
Providing a general introduction to software reliability engineering, this book presents detailed analytical models, state-of-the-art techniques, methodologies, and tools used to assess the reliability of software systems.  Meer
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paperbackEngels9789813083974 1-9-1998
This book presents a new methodological analysis of two competing research paradigms of artificial intelligence and cognitive science-the symbolic versus the connectionist paradigms.  Meer
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GebondenEngels9789813100046 29-8-2016
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