bdd-with-approvals

Executable specifications prevent drifting by acting as both human-readable specifications and tests. You create approval files using domain-specific language before implementation, ensuring the code directly reflects the intended behavior and stays in sync.

The best way to write executable specifications for complex processes is using approval testing with human-validatable artifacts. You model scenarios in domain-specific language formats like ASCII art for spatial problems, allowing quick visual validation of input-output transformations.

Approval testing facilitates behavior-driven development by allowing you to write specifications before implementation. You generate fixture files describing expected behavior in domain language, which then drive the implementation to ensure the code validates against these human-readable artifacts.

Yes, approval testing supports scenarios requiring input-output validation, complex process modeling, and visual algorithm testing. You use domain-specific language in human-readable fixture files to model expected transformations and spatial problems for quick visual validation.

Tests become noisy when they lack human-validatable artifacts. By using approval testing techniques with domain-specific language in fixture files, you create scannable specifications that serve as both documentation and validation, reducing noise and enabling rapid visual verification.

While test-driven development knowledge helps, executable specifications focus on writing approval files in domain-specific language before implementation. The approach emphasizes creating human-readable artifacts that drive implementation, making it accessible for defining clear user scenarios and expected outcomes.