https://github.com/mrday2day/java_unit_test_example
This repository serves as a reference implementation of unit testing best practices in Java applications.
https://github.com/mrday2day/java_unit_test_example
Last synced: about 2 months ago
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This repository serves as a reference implementation of unit testing best practices in Java applications.
- Host: GitHub
- URL: https://github.com/mrday2day/java_unit_test_example
- Owner: MrDay2Day
- License: mit
- Created: 2025-04-06T02:22:34.000Z (2 months ago)
- Default Branch: master
- Last Pushed: 2025-04-06T02:32:56.000Z (2 months ago)
- Last Synced: 2025-04-06T03:25:13.659Z (2 months ago)
- Language: Java
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Java Unit Testing Examples
This repository serves as a reference implementation of unit testing best practices in Java applications.
## Overview
This project demonstrates how to implement robust unit tests for Java applications using industry-standard frameworks and methodologies.
### 🧪 Testing Approach
The examples in this repository showcase:
- **JUnit 5 Implementation** - Utilizing the latest features of JUnit Jupiter for comprehensive test coverage
- **Test-Driven Development (TDD)** - Demonstrating how to write tests before implementation
- **Clean Test Architecture** - Following the Arrange-Act-Assert pattern for readable and maintainable tests
### 🛠️ Example Test Structure
### 🧮 Calculator Example
```java
public class CalculatorTest {
@Test
@DisplayName("Simple addition")
public void testAdd() {
Calculator calculator = new Calculator();
int result = calculator.add(2, 3);
assertEquals(5, result);
}
@Test
@DisplayName("Division by zero")
public void testDivideByZero() {
Calculator calculator = new Calculator();
assertThrows(ArithmeticException.class, () -> calculator.divide(10, 0));
}
}
```
### 🧑💻 Java Developer Example
```java
public class JavaDeveloperTest {
@Test
@DisplayName("Should demonstrate core skills")
public void testDemonstrateSkills() {
// Arrange
JavaDeveloper developer = new JavaDeveloper();
// Act
List skills = developer.getTestingSkills();
// Assert
assertAll(
() -> assertTrue(skills.contains("JUnit")),
() -> assertTrue(skills.contains("TestNG")),
() -> assertTrue(skills.contains("Mockito")),
() -> assertTrue(skills.contains("Spring")),
() -> assertTrue(skills.contains("TDD"))
);
}
@Test
@DisplayName("Should know JUnit")
public void testKnowsJUnit() {
assertTrue(new JavaDeveloper().getTestingSkills().contains("JUnit"));
}
@Test
@DisplayName("Should know TestNG")
public void testKnowsTestNG() {
assertTrue(new JavaDeveloper().getTestingSkills().contains("TestNG"));
}
}
```
### 🔍 Frameworks & Tools Demonstrated
- **JUnit 5** - The foundation of the testing strategy in this repository
- - **Maven/~~Gradle~~** - For build automation and test execution
### 📋 Additional Frameworks For Further Exploration
- **TestNG** - For more complex testing scenarios requiring advanced features
- **Mockito** - For mocking external dependencies and isolating units under test
- **Continuous Integration** - Automated testing pipelines with Jenkins/GitHub Actions
### 📊 Best Practices Demonstrated
1. **Independent Tests** - Each test runs in isolation without dependencies on other tests
2. **Edge Case Coverage** - Testing boundary conditions and error scenarios
3. **Descriptive Test Names** - Using `@DisplayName` for human-readable test documentation
4. **High Code Coverage** - Aiming for comprehensive coverage of all code paths
5. **Mock External Dependencies** - Isolating units from external resources for true unit testing
### 🏗️ Project Structure
```
src/
├── main/java/
│ └── code/
│ ├── JavaDeveloper.java
│ └── Calculator.java
└── test/java/
└── code/
├── JavaDeveloperTest.java
└── CalculatorTest.java
```
### 📚 Further Learning Topics
Advanced testing concepts demonstrated in different branches:
- Parameterized tests using JUnit 5
- Test lifecycle hooks
- Exception testing techniques
- Custom test extensions
- Test suites organization
---
*"Code without tests is bad code. It doesn't matter how well written it is; it doesn't matter how pretty or object-oriented or well-encapsulated it is. With tests, we can change the behavior of our code quickly and verifiably. Without them, we really don't know if our code is getting better or worse." — Michael Feathers*