property-based-testing

Property-based testing verifies function invariants by generating random inputs and checking if defined properties like roundtrip, idempotence, and commutativity hold true across various scenarios. It ensures operations with clear contracts behave correctly.

You can test serialization and validation functions with random inputs by applying property-based testing. It generates diverse data to verify that pure functions, normalizers, and validators maintain their expected behavior and contracts across a wide range of inputs.

Yes, property-based testing is designed for pure functions and operations with clear contracts. It requires no external dependencies, allowing you to directly verify functional behavior and invariants using randomly generated inputs.

Using random testing, you can check properties such as roundtrip serialization, idempotence, and commutativity. This approach validates that your functions maintain specific invariants and contracts when subjected to randomly generated inputs.

Use property-based testing when you need to verify invariants across a wide range of random inputs rather than specific cases. It is ideal for testing serialization, normalization, and validation operations with clear contracts to find edge cases.

To get started with property-based testing, define your function and appropriate property checks, then execute the testing process. This generates random inputs to verify that your function holds specific invariants and properties.