legacy-step-contract

You can enforce a quality contract for modernization pipeline steps by defining standardized input, execution, output, and validation schemas. This ensures each step in the reverse chain adheres to strict requirements for consistency and reliability.

Pipeline step contract validation requires input readiness checks, mechanical validation, AI semantic review, and SME approval. These combined checks ensure the step output meets the defined quality contract before proceeding.

To define input and output schemas for a new data-model analysis step, use Python scripts and YAML configuration to formally establish execution rules and validation expectations that enforce step consistency.

Yes, you can use YAML configuration to manage step contracts in the Legacy Spec Factory. The enforcement mechanism pairs YAML configuration with Python scripts to define and validate step requirements.

A pipeline step fails validation during the modernization process when it does not adhere to the defined quality contract, missing required input readiness checks, mechanical validation, AI semantic review, or SME approval.

The best way to standardize execution rules across multiple modernization steps is to apply a formal step contract definition that specifies inputs, execution rules, outputs, and validation expectations for each stage of the reverse chain.