golang-testing

Table-driven tests in Go use a slice of structs to define test cases, looping through them with subtests to achieve comprehensive coverage with minimal code. This approach keeps test suites maintainable and readable.

The RED-GREEN-REFACTOR cycle in TDD involves writing a failing test, making it pass with minimal code, and then improving the implementation. This methodology ensures robust, reliable Go code through iterative development.

Golden files store expected outputs for your Go functions, allowing tests to compare actual results against them. This pattern is useful for validating complex outputs without hardcoding lengthy expectations in your test code.

Fuzz tests in Go automatically generate random inputs to uncover edge cases and validate input handling. Writing fuzz tests involves passing a function to testing.F, which then mutates inputs to trigger crashes or failures.

Yes, you can benchmark memory allocation in Go tests using the B.ReportAllocs function within your benchmark tests. This measures and reports the number of allocations per operation, helping optimize performance.

The best way to mock dependencies in Go tests is through interface-based mocking. By defining interfaces for external dependencies, you can substitute real implementations with mocks to isolate the code under test.