functions-and-checks

You can structure DUT functionality by breaking it down into FG (功能组), FC (功能点), and CK (检测点) hierarchies. This enforces traceable test design and systematic documentation generation.

Defining measurable check points requires splitting DUT responsibilities systematically and generating CK entries with specific criteria. The resulting structured data populates the {OUT}/{DUT}_functions_and_checks.md documentation file.

Automate functional specification analysis updates by running scripts/update.py. The script enforces YAML frontmatter-driven discovery and guarantees unique tags for deterministic DUT documentation updates.

Yes, DUT functional grouping relies on YAML frontmatter-driven discovery to guarantee unique tags. This ensures deterministic updates across function point definition and check point design phases.

Yes, script-driven workflows enable deterministic updates during function point definition. The update script executes a staged plan to populate {OUT}/{DUT}_functions_and_checks.md with structured FG, FC, and CK data.

Manual check point design lacks deterministic updates and unique tag enforcement. Without script-driven DUT analysis and YAML frontmatter discovery, maintaining traceable functional grouping and documentation consistency becomes error-prone.