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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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paperbackEngels9789819913534 30-3-2023
This book constitutes revised selected papers from the workshops of the 6th Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data, APWeb-WAIM 2022: The Fifth International Workshop on Knowledge Graph Management and Applications, KGMA 2022, The Fourth International Workshop on Semi-structured Big Data Management and Applications, SemiBDMA 2022, and The Third International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2022, held in Nanjing, China, in August 2022.  Meer
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gebondenEngels9789819913565 16-5-2023
This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults.  Meer
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paperbackEngels9789819913596 17-5-2024
This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults.  Meer
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paperbackEngels9789819915484 18-4-2023
This book constitutes the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 16–18, 2022.  Meer
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