Script Code Auditing via Automated Metadata Parsing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Analyzing and auditing large volumes of script code to assess various metrics and ensure code standard compliance is inefficient.
Innovation Solution
A computerized system comprising a parser module to generate metadata, a rules module to apply audit rules, and a reporting module to generate results, facilitating efficient auditing of script code by breaking it down into components, applying coding standards, and producing comprehensive reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of script code is performed, then comprehensive auditing can be achieved, but time consumption increases significantly for large volumes of code
Solution Approach 1:
The patent replaces manual mechanical analysis of script code with an automated computer-based system. The computer program systematically parses, analyzes, and audits script code according to predefined rules, eliminating the need for manual inspection while maintaining comprehensive auditing coverage. This substitution of mechanical manual analysis with automated computational processes directly resolves the time consumption issue.
Solution Approach 2:
The auditing system performs self-service by automatically analyzing script code against embedded audit rules without requiring continuous human intervention. The system autonomously parses code structures, evaluates compliance, generates reports, and maintains audit trails independently, enabling comprehensive auditing of large code volumes while minimizing time investment from auditors.
2Loss of time
If automated auditing tools are used, then time consumption decreases, but complexity of the auditing system increases
Solution Approach 1:
The patent segments the auditing system into distinct functional modules: a parser module for code analysis, an auditor module for rule application, and a reporting module for result generation. Each module handles specific tasks independently, making the overall complex auditing process manageable and maintainable. This segmentation allows the system to achieve automated auditing capabilities while keeping individual components relatively simple and modular.
Solution Approach 2:
The auditing system is designed with universality by implementing a flexible rule engine that can accommodate multiple audit rules and coding standards within a single framework. The system can audit various script code types (QTP, LoadRunner, etc.) using the same core architecture, reducing the need for separate specialized tools and simplifying the overall system complexity despite its multi-functional capabilities.
3Reliability
If comprehensive audit rules are applied, then code standard compliance improves, but the difficulty of detecting and measuring compliance increases
Solution Approach 1:
The patent replaces manual detection and measurement of compliance with automated computational processes. The system automatically parses code structures, compares them against predefined audit rules, detects violations, and measures compliance levels without human intervention. This mechanical substitution of detection processes enables comprehensive compliance checking while significantly reducing the difficulty of detecting and measuring adherence to coding standards.
Solution Approach 2:
The auditing system implements feedback mechanisms by continuously comparing detected code patterns against audit rules and providing immediate compliance status information. The system generates detailed reports showing which rules are met and which are violated, allowing auditors to receive feedback on compliance status and adjust their review focus accordingly. This feedback loop simplifies the detection and measurement of compliance by presenting information in an actionable format.
Data Source
AI summary
A system, method, and computer program product for auditing script code is disclosed. The system may include a parser module on a computer, a rules module on a computer, and a reporting module on a computer. The parser module may be configured to parse the script code to generate script code metadata. The rules module may be configured to audit the script code by applying rules to the script code. The reporting module on a computer configured to use the script code metadata to generate a result of the audit.


