Code Coverage and Reporting with Apache ANT - Tutorial


Code coverage is a critical aspect of software testing that helps assess the effectiveness of test cases by measuring the portion of code that gets executed. Apache ANT, a popular build automation tool, provides support for code coverage measurement and reporting. In this tutorial, we will explore how to integrate code coverage tools and generate reports using Apache ANT.


Let's consider an example that demonstrates how to measure code coverage and generate reports using Apache ANT with the JaCoCo code coverage tool:

Configuring JaCoCo for Code Coverage

In your build script, configure JaCoCo to enable code coverage:

<project name="MyProject" default="test" basedir=".">

Copy code
<!-- Execute tests with JaCoCo coverage -->
<taskdef uri="antlib:org.jacoco.ant" resource="org/jacoco/ant/antlib.xml">
  <classpath path="jacoco-ant.jar"/>

<jacoco:coverage destfile="${}">
  <!-- Additional configuration options -->

<!-- Execute tests -->
<!-- Additional test tasks -->

<!-- Generate coverage report -->
  <!-- Specify the format and location of the coverage report -->
  <html destdir="${}/html"/>

Tutorial: Steps for Code Coverage and Reporting with Apache ANT

  1. Configure a code coverage tool (e.g., JaCoCo, Cobertura) in your Apache ANT build script.
  2. Define the necessary properties, such as source directories, test directories, and report directories.
  3. Compile the source code if required.
  4. Execute the tests using the chosen code coverage tool.
  5. Customize the code coverage options, such as specifying inclusion/exclusion patterns, report formats, or output locations.
  6. Generate code coverage reports using the reporting feature of the code coverage tool.
  7. Execute the target for code coverage and reporting using the Apache ANT command.

Common Mistakes with Code Coverage and Reporting

  • Not properly configuring the code coverage tool in the build script, leading to incomplete or inaccurate code coverage results.
  • Using incorrect or outdated versions of the code coverage tool, causing compatibility issues or limited functionality.
  • Missing or incorrect configuration of inclusion/exclusion patterns, resulting in incorrect code coverage measurements.
  • Overlooking the importance of regularly updating code coverage reports to reflect changes in the codebase.
  • Not integrating code coverage into the overall build process, making it difficult to track and analyze code coverage metrics consistently.

Frequently Asked Questions

  1. What is code coverage?

    Code coverage is a metric that measures the extent to which the source code of a program is executed during the execution of test cases. It helps identify areas of the code that are not adequately covered by tests.

  2. How does code coverage work?

    Code coverage tools instrument the code to track which parts of the code are executed during the execution of test cases. The tool collects this data and generates reports that show the coverage of different code elements, such as lines, branches, and methods.

  3. What are some popular code coverage tools?

    Some popular code coverage tools for Java include JaCoCo, Cobertura, and Emma. These tools provide features for measuring code coverage and generating reports.

  4. Can I use multiple code coverage tools with Apache ANT?

    Yes, you can use multiple code coverage tools with Apache ANT. However, you need to configure each tool separately and ensure compatibility between the tools.

  5. Can I customize the code coverage reports generated by Apache ANT?

    Yes, Apache ANT allows you to customize the code coverage reports generated by code coverage tools. You can specify report formats, output locations, and other options depending on the specific tool you are using.


Code coverage and reporting are essential aspects of software testing. With Apache ANT, you can seamlessly integrate code coverage tools and generate detailed reports to assess the effectiveness of your test cases. By following the steps outlined in this tutorial, you can enhance the quality of your software by measuring code coverage and gaining insights into the coverage of your codebase.