InfoQ Homepage Unit Testing Content on InfoQ
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JUnit 5: Evolution and Innovation
Sam Brannen presents new features in JUnit 5: parallel test execution, temporary directories, custom display name generators, method ordering, timeouts, the Test Kit, and new extension APIs.
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JUnit 5: The Next Step in Automated Testing
Sam Brannen discusses JUnit 5, how it makes automated testing easier, and how it allows developers and organizations to encourage and enforce good development practices.
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Mocking .NET without Hurting Its Feelings
John Wright discusses two main types of mocking frameworks: constrained frameworks (like RhinoMocks and Moq) and unconstrained frameworks (such as Typemock Isolator and Telerik JustMock).
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JUnit 5 — New Opportunities for Testing on the JVM
Sam Brannen discusses the architecture of JUnit 5 and demos some of its main features: tagging, DI, repeated tests, parameterized tests, conditional test execution, lambda for assertions, etc..
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Intro to Property-Based Testing
Shane Charles discusses Property-based Testing, a method used to cover many possible input values and edge cases for Unit Testing.
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Addressing Security Regression by Unit Testing
Christopher Grayson covers unit testing solutions that are both integrated into tested codebases as well as solutions that can test deployed codebases from a black box standpoint.
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Testing with Spring 4.3, JUnit 5, and beyond
Sam Brannen overviews testing improvements in Spring 4.3, covers recent improvements in Spring MVC Test and testing features in Spring 5.0, adding examples with upcoming support for JUnit 5 on Java 8.
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Testing Spring Boot Applications
Phil Webb discusses the new features added to Spring Boot 1.4 to help with testing, how to do unit testing, how and when to involve Spring in tests, and useful tools and libraries.
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RxJS 5 in Depth
Gerard Sans explains RxJS' data architecture based on reactive programming, exploring Observables API using RxJS koans and unit tests. RxJS 5 focuses on performance and usability.
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The Mechanics of Testing Large Data Pipelines
Mathieu Bastian explores the mechanics of unit, integration, data and performance testing for large, complex data workflows, along with the tools for Hadoop, Pig and Spark.
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Mutate Your Code and Reveal Your True Test Coverage
Pawel Sawicz suggests putting tests to the test by mutating the code to see if the codebase is properly covered by tests and how errors are propagated.
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Testing with Spock: The Logical Choice
Iván López discusses the basics of Spock and how easily one can test a Java application. Spock is a Groovy-based testing and specification framework for Java and Groovy applications.
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