golang-testing

Table-driven tests in Go use a struct slice of test cases to validate multiple inputs against expected outputs efficiently. This pattern defines test data structurally and loops through subtests, ensuring robust code coverage while maintaining clean, maintainable test suites.

Go test coverage is measured using built-in tooling to track executed code paths during test runs. Analyze coverage reports to identify untested branches, facilitating the creation of comprehensive test suites that ensure reliable software.

Apply TDD principles to Go API development by following the Red-Green-Refactor cycle: write a failing test first, implement the minimum code to pass it, then refactor. This ensures all edge cases and success paths are covered reliably.

Fuzzing is needed for Go applications when automatically generating random test inputs to discover edge cases and security vulnerabilities. It complements table-driven tests by continuously feeding mutated data into functions to expose unexpected panics or failures.

Write benchmarks in Go using the testing.B type to measure function execution time and memory allocations across iterations. This facilitates performance regression testing and helps optimize code speed by providing actionable metrics.