rust-testing

TDD in Rust uses the Red-Green-Refactor cycle with cargo test to ensure code meets requirements before implementation by writing failing tests first, making them pass, then refactoring for high code reliability.

Testing async Rust code is handled through dedicated asynchronous testing patterns. This methodology ensures your async functions and futures are thoroughly verified for production-grade reliability alongside standard unit and integration tests.

Mockall is used for mocking dependencies in Rust testing to ensure high code reliability. It provides best practices for isolating modules during unit testing so you can verify interactions without hitting real external systems.

You measure code coverage in Rust using llvm-cov for coverage analysis. This ensures production-grade reliability by identifying untested code paths in your unit, integration, and property-based test suites.

Property-based testing is included as an advanced testing pattern alongside unit, integration, and doc testing. It allows you to verify code behavior against generated inputs to ensure comprehensive verification strategies.

Integration testing is needed when verifying module interactions, while unit testing isolates individual components. Both are covered under advanced testing patterns to maintain high-quality, bug-free Rust code.