property-based-testing

Property-based testing verifies general properties and invariants of code rather than specific examples. It automatically generates many test cases to ensure executable specifications hold true across a wide range of inputs.

To write property-based tests for smart contract logic, you define executable specifications and invariants. This Skill provides strategies to generate tests that validate serialization, validation, and normalization rules across multiple languages.

Yes, you can review existing property-based tests to analyze their quality. This Skill identifies weaknesses in current tests and suggests improvements to ensure roundtrips and invariants are properly maintained.

Yes, property-based testing works for serialization and normalization tasks by detecting PBT opportunities. It helps generate tests that verify any encoded data can be correctly decoded while maintaining data structure invariants.

The best way to design tests with properties is to define specifications as executable properties before implementation. This approach guides development by ensuring roundtrips and invariants are established upfront.

You should avoid property-based testing when only simple, isolated example checks are needed. It is less suitable for scenarios lacking clear invariants, roundtrips, or serialization rules that require broad, automated input generation.