property-based-testing

Property-based testing automatically generates inputs to verify algebraic properties and state invariants, replacing manual example-based tests. You need it to ensure your code handles edge cases and complex logic that manual unit tests often miss.

To write property-based tests for serialization roundtrips, you define a property stating that deserializing a serialized object yields the original object. This Skill guides you through identifying such patterns and structuring tests using libraries like Hypothesis, fast-check, or proptest.

Yes, property-based testing works with smart contract environments. This Skill provides comprehensive guidance for implementing property-based logic to verify state invariants and detect edge cases specifically within smart contract codebases.

The best way to refactor complex logic for property-based testing is using Property-Driven Development. This Skill offers a workflow to identify testable patterns like idempotence and validators, helping you restructure code to satisfy high-coverage verification requirements.

Yes, you can augment existing example-based unit tests with property-based testing. This approach allows you to automatically generate diverse inputs to verify algebraic specifications, ensuring robust edge-case handling alongside your manual tests.

Unit test coverage misses edge cases because example-based testing relies on manually specified inputs. Property-based testing automatically generates a wide range of inputs to detect testable patterns like serialization pairs and state invariants, exposing hidden edge cases.