Book Image

Test-Driven Java Development, Second Edition - Second Edition

By : Viktor Farcic, Alex Garcia
Book Image

Test-Driven Java Development, Second Edition - Second Edition

By: Viktor Farcic, Alex Garcia

Overview of this book

Test-driven development (TDD) is a development approach that relies on a test-first procedure that emphasizes writing a test before writing the necessary code, and then refactoring the code to optimize it.The value of performing TDD with Java, one of the longest established programming languages, is to improve the productivity of programmers and the maintainability and performance of code, and develop a deeper understanding of the language and how to employ it effectively. Starting with the basics of TDD and understanding why its adoption is beneficial, this book will take you from the first steps of TDD with Java until you are confident enough to embrace the practice in your day-to-day routine.You'll be guided through setting up tools, frameworks, and the environment you need, and we will dive right into hands-on exercises with the goal of mastering one practice, tool, or framework at a time. You'll learn about the Red-Green-Refactor procedure, how to write unit tests, and how to use them as executable documentation.With this book, you'll also discover how to design simple and easily maintainable code, work with mocks, utilize behavior-driven development, refactor old legacy code, and release a half-finished feature to production with feature toggles.You will finish this book with a deep understanding of the test-driven development methodology and the confidence to apply it to application programming with Java.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
9
Refactoring Legacy Code – Making It Young Again
Index

Mocking


In order for tests to run quickly and provide constant feedback, code needs to be organized in such a way that the methods, functions, and classes can be easily replaced with mocks and stubs. A common word for this type of replacements of the actual code is test double. The speed of execution can be severely affected with external dependencies; for example, our code might need to communicate with the database. By mocking external dependencies, we are able to increase that speed drastically. Whole unit test suite execution should be measured in minutes, if not seconds. Designing the code in a way that can be easily mocked and stubbed forces us to structure that code better by applying a separation of concerns.

More important than speed is the benefit of the removal of external factors. Setting up databases, web servers, external APIs, and other dependencies that our code might need, is both time consuming and unreliable. In many cases, those dependencies might not even be available. For example, we might need to create a code that communicates with a database and have someone else create a schema. Without mocks, we would need to wait until that schema is set.

Note

With or without mocks, the code should be written in such a way that we can easily replace one dependency with another.