
Fast Facts
Get a quick overview of this blog
Unit Testing Importance: Verifies code functionality, catches bugs early, and enhances software reliability.
JUnit Framework: Facilitates efficient test writing, bug fixing, and supports Test-Driven Development (TDD) in Java.
Effective Practices: Use meaningful assertions, mocks, and stubs. Keep tests small, focused, and independent.
Automation and CI: Integrate tests into CI pipelines for automated validation and consistent code quality
Do you ever write a complex piece of code and think you’ve got it right but aren’t completely certain? This is where unit tests come in to verify that your code is functioning correctly. This means testing every part of your code to ensure it works as expected.
You can use the JUnit testing framework to create unit tests and verify your Java code, and we will show you exactly how to do this. In this article, we will discuss a step-by-step guide on how to test your code efficiently and execute Java unit testing. Let’s first discuss what unit testing is and why it’s important in general.
What is Unit Testing?
Unit testing involves checking each component of your code to verify if they function as expected. It isolates individual methods and conducts tests on them. This process ensures that your software works correctly before it’s released. As a developer, you should write unit tests immediately after writing a piece of code.
Typically, when working with Java, that particular piece of code is often a class or even a method within a class. Unit tests then become the Java code that you create to target and check that specific method, ensuring it performs as expected.
Why Use JUnit for Java Unit Testing
With unit testing becoming more prevalent, various frameworks supporting Java unit testing have gained popularity. Java testing frameworks such as JUnit, TestNG, etc, outline the guidelines for test scripts, define the basic structure of tests, and provide a strategy for your testing cycle. JUnit, in particular, is the standard framework for unit testing in Java applications.
Why use JUnit for unit testing Java applications? JUnit allows you to efficiently write unit tests to identify and fix bugs in your code early. Using JUnit can speed up development by finding issues early and frequently, helping you deliver higher-quality code faster. It’s also commonly used for test-driven development (TDD), so if you’re aiming to practice TDD, you’ll likely encounter JUnit and need to master its use.
Now, let us see how to test the code by executing the Java Unit testing example using JUnit.
Java Unit Testing-How to Test Your Code
We will be discussing the steps to test the code, so let us assume that we have already developed Java code that requires to be tested. Here is the Java Unit testing example:
Java Unit Code to be Tested
To write unit tests for the Calculator class in a separate file, you can use a testing framework like JUnit. Below, we will show you how to set up a Calculator.java file and a TestCalculator.java file with unit tests for the add and subtract methods.
First, you have to ensure JUnit is set up in your project. If you're using a build tool like Maven or Gradle, add JUnit as a dependency.
Here's the Calculator.java file:
// Calculator.java
public class Calculator {
// Method to add two integers
public int add(int a, int b) {
return a + b;
}
// Method to subtract two integers
public int subtract(int a, int b) {
return a - b;
}
}
Assertions class should be used to validate the expected results of your tests. Common assertions include:
‘assertEquals(expected, actual)’: Verifies if two values are identical.
‘assertTrue(condition)’: Ensures a specified condition evaluates to true.
‘assertFalse(condition)’: Ensures a specified condition evaluates to false.
‘assertNotNull(object)’: Checks that an object reference is not null.
‘assertNull(object)’: Checks that an object reference is null
Now, you have to create the TestCalculator.java file for the unit test in the same code directory where Calculator.java file is present to demonstrate these assertions in action:
import org.junit.jupiter.api.Test;
import static org.junit.jupiter.api.Assertions.assertEquals;
public class TestCalculator {
@Test
public void testAdd() {
Calculator calculator = new Calculator();
int result = calculator.add(10, 5);
assertEquals(15, result, "10 + 5 should equal 15");
}
@Test
public void testSubtract() {
Calculator calculator = new Calculator();
int result = calculator.subtract(10, 5);
assertEquals(5, result, "10 - 5 should equal 5");
}
@Test
public void testAddNegative() {
Calculator calculator = new Calculator();
int result = calculator.add(-10, -5);
assertEquals(-15, result, "-10 + (-5) should equal -15");
}
}
Instructions to Run the Tests
You have to ensure JUnit is in Your Classpath:
Say for example you are using Maven, you have to create pom.xml file in the same code directory where Calculator.java and TestCalculator.java are present. Now, add the following dependency to your pom.xml
<dependencies>
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter-api</artifactId>
<version>5.7.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter-engine</artifactId>
<version>5.7.0</version>
<scope>test</scope>
</dependency>
</dependencies>
Or else, if you are using Gradle, you have to create build.gradle file in the same code directory where Calculator.java and TestCalculator.java are present. You have to add the following to your build.gradle
dependencies {
testImplementation 'org.junit.jupiter:junit-jupiter-api:5.7.0'
testRuntimeOnly 'org.junit.jupiter:junit-jupiter-engine:5.7.0'
}
Next, you have to compile and run the code: You have to navigate to the code directory in your terminal and run the following commands:
For Maven:
cd code
mvn compile
mvn test
For Gradle:
cd code
gradle build
gradle test
When you are following the above-mentioned steps, Maven and Gradle will manage the classpath for you, including the JUnit dependencies, so you don't have to manually specify paths to the JUnit jars.
Analysis of the Test Result
Suppose, after running mvn test, you see an output similar to the following in the terminal:
For Maven:
-------------------------------------------------------
T E S T S
-------------------------------------------------------
Running TestCalculator
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.032 s - in TestCalculator
Results :
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0
Analysis of the above test result:
Tests Run: Maven executed 3 tests (testAdd, testSubtract, testAddNegative).
Failures: Maven reports Failures: 0, indicating all tests passed successfully.
Errors: Similarly, Errors: 0 shows there were no unexpected errors during test execution.
For Gradle:
After running gradle test, you see an output similar to the following in the terminal.
BUILD SUCCESSFUL in 1s
3 actionable tasks: 3 executed
Further, Gradle generates HTML reports that you can view in a web browser. These reports are typically located in:
build/reports/tests/test/index.html
Open the index.html file in a web browser to view the test reports. Below is the screenshot of the index.html page for reference.

The above HTML test report generated by Gradle will give you detailed information about your test suite, including:
Test Summary: The total tests run, passed, failed, and skipped.
Detailed Test Results: Detailed breakdown of each test method with status (passed, failed, error), duration, and any error messages or stack traces.
Test Suite Overview: Visual representation (if available) of test results, often in the form of charts or graphs.
Configuration Details: Information about the environment, build configuration, and system properties during testing.
Key Consideration on Java Unit Testing
When assertions fail, JUnit provides clear messages about what was expected versus what was actually received. This helps quickly identify and fix issues in your Java unit code. However, you have to be quite particular about certain steps here:
To maintain clarity and separation, you must organize test classes into a test package or alongside production code.
You must ensure that each Java Unit testing method is independent and does not rely on the state of other tests.
Try to integrate tests into CI pipelines for automated validation on every commit.
You can use meaningful assertions to verify expected outcomes and behaviors.
You can mocks for dependencies to isolate units under test and simulate behaviors.
How to Create Mocks and Stubs for Java Unit Testing
Follow these steps:
Choose Your Mocking Tool: You can opt for powerful mocking frameworks such as Mockito or Sinon.js to simulate how external dependencies behave during Java unit testing.
Understand Mocks and Stubs: You understand mocks as real objects that mimic behavior, while stubs allow you to control specific functions or methods by defining their return values or actions.
Select Your Library: Depending on your project’s needs, you must select a mocking library that complements your testing framework—like Mockito for Java, Moq for .NET, or Jest for JavaScript.
Create Your Stubs: Now, you have to develop classes or objects that mirror the behavior of the components being tested, tailoring them to return precise values or trigger actions as necessary.
Generate Your Mocks: Now can make use of library functions to generate mock instances of classes or interfaces. Establish expectations for method calls to verify their behavior during testing.
Inject Your Mocks or Stubs: Now it's time to integrate these components into your test code using methods like constructor or setter injection.
Write Your Test Cases: Now develop robust Java unit test cases that leverage mocks or stubs to ensure your code performs as expected across diverse scenarios.
Run Your Tests: Execute your Java unit testing using the selected framework to confirm your code passes and behaves correctly under review.
Refine and Improve: Continuously refine your Java unit testing method and codebase to enhance reliability and coverage, addressing any issues that arise along the way.
HyperTest simplifies integration testing for developers. What sets it apart is its capability to mock all external dependencies, such as databases, message queues, sockets, and other required services.
Creating mocks automatically to mock dependencies not only simplifies test creation, but also helps in achieving development goals more quickly.
HyperTest enables each service to be tested independently by simulating third-party dependencies, even in intricate environments with highly interdependent services. This indicates that tests can prioritize testing the service's functionality instead of managing uncertain external dependencies.
Best Practices for Effective Unit Testing
Write Small and Focused Tests: You must focus each test on a single aspect.
Use Meaningful Test Names: You have to clearly indicate the purpose of each test.
Keep Tests Independent: You must ensure tests do not rely on each other.
Test Both Positive and Negative Cases: Try to include edge cases and error conditions in Java unit testing.
Run Tests Frequently: Always integrate testing into your regular development process.
Conclusion
You have gained knowledge on ensuring flawless performance of your code, starting from setting up JUnit and creating initial test cases to using robust assertions and advanced methods such as mocking and code coverage. Improving these skills doesn't just increase the performance of your code but also raises your self-assurance as a developer. Begin Java unit testing more intelligently and experience the satisfaction of developing reliable Java applications confidently.
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