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Gradle Essentials

You're reading from   Gradle Essentials Master the fundamentals of Gradle using real-world projects with this quick and easy-to-read guide

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783982363
Length 176 pages
Edition 1st Edition
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Authors (2):
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Abhinandan Maheshwari Abhinandan Maheshwari
Author Profile Icon Abhinandan Maheshwari
Abhinandan Maheshwari
Kunal Dabir Kunal Dabir
Author Profile Icon Kunal Dabir
Kunal Dabir
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Toc

Code coverage


There are so many coverage tools available for source code analysis such as EMMA, Corbatura, JaCoCo, and so on. In this section, we'll cover Gradle integration with JaCoCo to find the source code analysis.

Before we get started, we need to understand what code coverage is and why it is important in the test-driven development.

Code coverage is a metric that we can use to check how much of the source code was tested. Higher code coverage means a greater percentage of our code has been tested. Code coverage is typically done in the unit testing cycle. During code coverage, a developer must ensure that different logical paths in the source code have been tested and verified to achieve better code coverage.

Here, it is important to understand that the code coverage is not directly related to code quality. High code coverage does not guarantee that the quality code has been written. A developer must use static code analysis tools such as PMD (https://pmd.github.io/) to find the quality...

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