Source Code Anomaly Detection via Style Profile Matching

The system enables self-service by automatically detecting code style features, comparing them against predefined profiles, and determining code readiness for storage without requiring manual review by specialized personnel. The automated analyzer performs style verification, anomaly detection, and code generation tasks independently, eliminating the need for manual code formatting and review processes.

The patent replaces manual mechanical code review and formatting processes with automated electronic systems. The style analyzer automatically extracts style features, compares them against stored profiles, and determines code eligibility for storage. This substitution of manual mechanical processes with automated electronic analysis eliminates code duplication caused by formatting inconsistencies and reduces the need for specialized knowledge to verify code style.

The system segments the code analysis process into distinct functional modules: style feature extraction, style profile comparison, anomaly detection, and code generation readiness determination. Each module handles a specific aspect of code analysis independently, making the overall complex system manageable through modular architecture. The style analyzer extracts specific formatting features, compares them against profiles, and generates reports separately from the code generation process.

The style profile acts as an intermediary between the raw code and the storage system. Instead of directly analyzing code against complex rules, the system pre-computes and stores style profiles that encapsulate formatting expectations. The analyzer compares extracted style features against these pre-established profiles, simplifying the decision-making process and reducing the complexity of the analysis system while maintaining high precision in code quality assessment.