Generating program analysis rules based on coding standard documents

This invention describes a system that automatically creates rules for analyzing computer code. It takes written coding standards, like style guides, and feeds them into a smart computer program. This program learns from a history of similar standards and their corresponding code-checking rules to generate new rules. The system then corrects any errors in these newly generated rules.

Why it matters: Filed before the widespread capability of large language models (LLMs) to perform sophisticated natural language understanding and code generation. LLMs could significantly enhance the "cognitive model" described for generating programmatic rules from natural language documents.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning system and data pipeline

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