JUnit Test Reporting and Visualization: A Comprehensive Guide

In this article on JUnit Test Reporting and Visualization: A Comprehensive Guide, reporting and visualization methods of JUnit tests are discussed in brief.

JUnit is an essential tool for testing Java applications, but it’s not just about running tests. It’s equally important to interpret the results effectively. In this blog post, we’ll delve into the world of JUnit test reporting and visualization. We’ll explore how to generate informative test reports, including HTML reports, and discuss visualization tools that can help you gain valuable insights from your test results.

Why Test Reporting and Visualization Matter

Before we dive into the how, let’s understand why test reporting and visualization are crucial aspects of the testing process.

  1. Clear Communication. In fact, test reports provide a clear and concise way to communicate the status of your tests to your team. Therefore, they help in identifying failing tests, making it easier to pinpoint issues in your code.
  2. Historical Data. Further, test reports often maintain a history of test results. This historical data can help you track the progress of your codebase over time and identify trends in test success and failure.
  3. Visualization. Actually, visualization tools offer a more intuitive way to understand complex test data. In fact, visual representations of test results can highlight patterns and outliers that might be challenging to spot in raw data.

Generating HTML Test Reports with JUnit

JUnit provides built-in support for generating HTML test reports through the use of test runners. The following step-by-step guide describes how to create HTML test reports for your JUnit tests.

Step 1: Add Dependencies. In order to add a dependency, include the following markup.


Step 2: Create a Test Runner. For the purpose of creating a test runner, write the following code.

import org.junit.platform.engine.discovery.DiscoverySelectors;
import org.junit.platform.launcher.Launcher;
import org.junit.platform.launcher.LauncherDiscoveryRequest;
import org.junit.platform.launcher.core.LauncherFactory;

public class JUnitHTMLTestRunner {
    public static void main(String[] args) {
        Launcher launcher = LauncherFactory.create();

        LauncherDiscoveryRequest request = LauncherDiscoveryRequest.builder()

        launcher.execute(request, new HTMLTestExecutionListener());

Step 3: Implement the HTMLTestExecutionListener. Finally, implement the HTMLTestExecutionListener as follows.

import org.junit.platform.launcher.TestExecutionListener;
import org.junit.platform.launcher.TestIdentifier;
import org.junit.platform.launcher.TestPlan;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.StandardOpenOption;

public class HTMLTestExecutionListener implements TestExecutionListener {
    // Implement the methods to capture test results and generate an HTML report.
    // For simplicity, we won't include the full implementation here.

Visualization Tools for JUnit

In addition to HTML reports, you can leverage visualization tools to gain deeper insights into your test results. The following list indicates some popular options.

  1. JUnit Test Visualizer. Basically, it is a tool that provides interactive visualizations for JUnit test results. It can help you identify patterns and dependencies between tests.
  2. JaCoCo. While primarily a code coverage tool, JaCoCo also offers visualization of test coverage, helping you see which parts of your code are well-tested and which aren’t.
  3. Custom Dashboards. Furthermore, you can build custom dashboards using data from JUnit test reports. In fact, tools like Grafana and Kibana are great for creating custom visualizations based on your test data.


In conclusion, JUnit test reporting and visualization are essential for maintaining code quality and ensuring that your tests remain effective over time. By following the steps to generate HTML reports and exploring visualization tools, you can take your testing process to the next level, making it easier to understand and act upon your test results.

Also, remember that effective reporting and visualization can be a significant time-saver in the long run, helping you catch and fix issues early in the development process.

Happy testing!

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