Code Coverage & Metrics (JaCoCo)

Code Coverage & Metrics help you understand how well your code is tested and how healthy your codebase is. They give clear visibility into untested logic, risky areas, and overall maintainability—making them essential for modern CI/CD pipelines and production-ready applications.

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What is Code Coverage?

Code Coverage measures how much of your source code is actually executed when your test suite runs. It answers a fundamental question:

Which parts of my code are truly tested?

High coverage improves confidence in your application, but it doesn’t guarantee bug-free code. Conversely, low coverage indicates areas that are high-risk and potentially under-tested.

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Common Code Coverage Metrics

• Line Coverage – Checks which lines of code are executed during tests.
• Branch Coverage – Verifies all logical paths (if/else, switch, ternary) are tested.
• Method Coverage – Confirms that all methods are invoked at least once.
• Class Coverage – Shows which classes are exercised by your tests.

? Focus not just on coverage numbers, but also on meaningful assertions and testing critical business logic.

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Why Code Coverage Matters

• Detects untested logic and edge cases early
• Improves overall test reliability
• Reduces bugs in production
• Prevents accidental code regressions or drops
• Increases confidence when refactoring code
• Serves as a quality gate in CI/CD pipelines

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JaCoCo (Java Code Coverage)

JaCoCo is the most popular Java code coverage tool, widely used in Spring Boot, Maven, and Gradle projects. It helps developers measure how much of their code is tested and ensures quality during development and CI/CD pipelines.

In short: JaCoCo is a popular Java tool to measure code coverage, ideal for Spring Boot, Maven, and Gradle projects.

Benefits of Using JaCoCo:

• Lightweight & fast – Minimal impact on test execution
• Multiple metrics – Line, branch, method, and class coverage
• Readable reports – HTML reports for easy analysis
• Enforce quality – Fail builds if coverage thresholds aren’t met

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JaCoCo with Maven

JaCoCo integrates seamlessly with Maven to measure code coverage in Java and Spring Boot projects. It helps you track which parts of your code are tested and ensures higher code quality.

Maven Configuration

<plugin>
  <groupId>org.jacoco</groupId>
  <artifactId>jacoco-maven-plugin</artifactId>
  <version>0.8.11</version>
  <executions>
    <execution>
      <goals>
        <goal>prepare-agent</goal>
      </goals>
    </execution>
    <execution>
      <id>report</id>
      <phase>test</phase>
      <goals>
        <goal>report</goal>
      </goals>
    </execution>
  </executions>
</plugin>

Run Tests

mvn test

View Coverage Report

Open the HTML report here:

target/site/jacoco/index.html

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Coverage Thresholds (Fail the Build)

You can fail the build if coverage drops below a defined threshold.

<rules>
  <rule>
    <element>BUNDLE</element>
    <limits>
      <limit>
        <counter>LINE</counter>
        <value>COVEREDRATIO</value>
        <minimum>0.80</minimum>
      </limit>
    </limits>
  </rule>
</rules>

➡️ Build fails if coverage < 80%

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Code Coverage in Different Test Types

• Unit Tests → High coverage, fast feedback
• Integration Tests → Real service & infrastructure flow coverage
• End-to-End Tests → Business scenario validation

? Use all three for balanced coverage.

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Code Quality Metrics (Beyond Coverage)

Coverage alone is not enough. Code Quality Metrics help measure maintainability and complexity.

Important Metrics

• Cyclomatic Complexity – Logical complexity
• Duplication – Repeated code blocks
• Maintainability Index – Ease of future changes
• Technical Debt – Effort required to fix issues

Together, these metrics show how easy your code is to understand, test, and maintain.

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JaCoCo in Microservices

In microservices architectures, code coverage requires a slightly different approach than monoliths:

• Measure coverage per service – Each microservice has its own codebase and database, so track coverage individually.
• Test REST APIs and event flows – Include integration tests for service-to-service communication, Kafka/RabbitMQ events, and database interactions.
• Focus on critical business paths – Prioritize coverage for core workflows instead of boilerplate code.
• Use coverage as a quality gate, not a KPI – High coverage is good, but meaningful tests that catch real bugs are more important.

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Best Practices

• Focus on critical business logic
• Don’t blindly chase 100% coverage
• Exclude:
  • DTOs
  • Configuration classes
  • Generated code
• Combine coverage with:
  • Unit tests
  • Integration tests
  • Code reviews
• Treat coverage as a guideline, not a target

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Conclusion

Code Coverage & Metrics help ensure your code is:

• Well tested
• Maintainable
• Safe to refactor
• Production-ready

Good tools like JaCoCo, combined with meaningful tests, result in high-quality, reliable software—not just higher percentages.