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Mastering Software Testing with JUnit 5

Mastering Software Testing with JUnit 5

By : Boni Garcia
4.3 (8)
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Mastering Software Testing with JUnit 5

Mastering Software Testing with JUnit 5

4.3 (8)
By: Boni Garcia

Overview of this book

When building an application it is of utmost importance to have clean code, a productive environment and efficient systems in place. Having automated unit testing in place helps developers to achieve these goals. The JUnit testing framework is a popular choice among Java developers and has recently released a major version update with JUnit 5. This book shows you how to make use of the power of JUnit 5 to write better software. The book begins with an introduction to software quality and software testing. After that, you will see an in-depth analysis of all the features of Jupiter, the new programming and extension model provided by JUnit 5. You will learn how to integrate JUnit 5 with other frameworks such as Mockito, Spring, Selenium, Cucumber, and Docker. After the technical features of JUnit 5, the final part of this book will train you for the daily work of a software tester. You will learn best practices for writing meaningful tests. Finally, you will learn how software testing fits into the overall software development process, and sits alongside continuous integration, defect tracking, and test reporting.
Table of Contents (8 chapters)
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Static analysis

This book, which is finishing soon, has been focused on software testing. No surprises, JUnit is about testing. But as we seen in Chapter 1, Retrospective on software quality and Java testing, although software testing is the most commonly performed activities within Verification & Validation (V&V), it is not the only type. The other important group of activities is static analysis, in which there is no execution of the software testing.

There are different activities that can be categorized as static analysis. Among them, the automated software analysis is an alternative quite inexpensive in terms of required effort, and it can help to increase the internal code quality significantly. In this chapter, we are going to review several automated software analysis tools, known as linters, namely:

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