NLP Release Note Mapping for Code Revision Impact Analysis

The patent introduces an intermediary system comprising a natural language processing engine and a code analysis engine that act as mediators between the software update package and the verification process. The NLP engine processes release notes to extract expected changes, while the code analysis engine compares actual source code modifications. This intermediary layered architecture enables accurate discrepancy detection without requiring direct complex integration between all system components, thus resolving the contradiction between measurement precision and device complexity.

The patent applies preliminary action by performing automated natural language processing and code comparison operations before the software update is deployed to production environments. The system pre-identifies discrepancies between release notes and actual source code changes, generating verification reports in advance. This preliminary verification ensures reliability of update information while minimizing time loss during actual deployment, as the expensive verification process is completed beforehand rather than during live operations.

The patent implements self-service by enabling the verification system to automatically perform discrepancy detection without requiring manual intervention from developers or quality assurance personnel. The natural language processing engine autonomously parses release notes, the code analysis engine automatically compares source code modifications, and the system generates verification reports independently. This automated self-service approach dramatically improves verification productivity while the modular architecture keeps device complexity manageable by eliminating the need for complex manual verification workflows.