Table of Contents
What Does Coverage Mean?
Coverage is a software testing metric that measures the extent to which source code is executed by a test suite. It shows how thoroughly an application is being tested and is often expressed as a percentage. Higher coverage suggests that more of the codebase is validated through automated or manual tests, reducing the chance of undiscovered bugs.
Why Coverage Matters
Without sufficient coverage, critical parts of an application may remain untested, creating blind spots in quality assurance. High coverage helps ensure that:
- Core logic and edge cases are validated
- Potential defects are caught earlier in the development cycle
- Teams can deploy with greater confidence
However, 100% coverage doesn’t always guarantee quality. It must be combined with effective test design and realistic scenarios.
Types of Coverage
Coverage can be measured in different ways depending on what aspects of the code are exercised during tests:
- Line coverage: Measures whether each line of code is executed.
- Branch coverage: Validates whether all possible paths or conditions are tested.
- Function/method coverage: Tracks whether every function or method has been invoked.
- Condition coverage: Ensures all boolean expressions have been evaluated to both true and false.
How Coverage Works with Testkube
Testkube can collect and aggregate coverage data from test executions across Kubernetes-native workflows. Reports generated by frameworks like Jest, JUnit, or pytest can be integrated into Testkube for centralized visibility. This allows teams to:
- Consolidate coverage metrics across different test types and tools
- Monitor coverage trends over time
- Correlate coverage with CI/CD pipelines and release readiness