golang-testing

Table-driven unit tests in Go use struct slices to define input and expected output scenarios, executing subtests for each case to maximize coverage. This pattern catches edge cases early and ensures consistent validation across business logic functions.

Fuzz testing in Go automatically generates random inputs to validate functions and uncover edge cases that standard tests miss. Use fuzz testing when you need to verify input parsing robustness or identify panics in API handlers.

TDD methodology in Go follows the RED-GREEN-REFACTOR cycle: write a failing test, implement the minimum code to pass, then refactor. This test-first approach enforces regression catching early in the development cycle.

Yes, Go testing supports parallel test execution using t.Parallel() and built-in benchmarks using the Benchmark function prefix. These tools identify performance bottlenecks and validate API throughput under concurrent loads.

Mock dependency injection in Go is best handled by defining interfaces for external dependencies, allowing tests to inject mock implementations. This isolates business logic and ensures unit tests run without actual database or API connections.

Go test coverage integrates into CI/CD pipelines by running tests with the -coverprofile flag to generate coverage reports. This output tracks untested code paths and enforces coverage thresholds for regressions.