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

Code coverage tools


The fact that we wrote tests does not mean that they are good, nor that they cover enough code. As soon as we start writing and running tests, the natural reaction is to start asking questions that were not available before. What parts of our code are properly tested? What are the cases that our tests did not take into account? Are we testing enough? These and other similar questions can be answered with code coverage tools. They can be used to identify the blocks or lines of code that were not covered by our tests; they can also calculate the percentage of code covered and provide other interesting metrics.

They are powerful tools used to obtain metrics and show relations between tests and implementation code. However, as with any other tool, their purpose needs to be clear. They do not provide information about quality, but only about which parts of our code have been tested.

Note

Code coverage shows whether the code lines are reached during test execution, but it is not...