Semantic String Analysis for Faster Code Quality Review
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Solution Overview
Problem
The complexity of software development and the ubiquity of strings in modern applications make reviewing and ensuring code quality challenging, particularly due to inconsistent coding practices and readability issues, which can lead to defects and delays in remediation.
Innovation Solution
A code scanning service that analyzes strings from a semantic perspective by decomposing their structure into a tree-like form, applying developer-defined rules to identify and evaluate strings using search patterns and test criteria, generating actionable recommendations for code improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual code review is used to ensure code quality, then code quality can be maintained, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical code review with an automated code scanning engine that uses static analysis, string analysis, and rule-based evaluation to automatically detect code quality issues, security vulnerabilities, and coding standard violations, thereby maintaining code quality while eliminating time-consuming manual review processes
Solution Approach 2:
The patent introduces an intermediary code scanning service that acts as a mediator between developers and code quality assurance, using artificial intelligence and automated analysis tools to evaluate code, generate reports, and provide recommendations, thus reducing the time burden on developers while ensuring thorough code quality checking
2Reliability
If comprehensive code analysis is performed to identify all issues, then code quality improves, but the complexity of the analysis process increases
Solution Approach 1:
The patent segments the code analysis process into distinct modules including string analysis, pattern matching, rule evaluation, and report generation, allowing each component to specialize in specific tasks and be independently optimized, thereby maintaining comprehensive analysis capability while reducing overall process complexity
Solution Approach 2:
The patent creates a universal code scanning engine that can perform multiple types of analysis (static analysis, string analysis, security scanning, coding standard verification) through a single integrated system using configurable rules and patterns, eliminating the need for multiple separate analysis tools and simplifying the analysis process
3Reliability
If detailed string analysis is performed on all strings in code, then code quality and security improve, but the computational resources required increase
Solution Approach 1:
The patent applies local quality by performing detailed string analysis only on specific strings that match predefined patterns or are identified as potentially problematic, rather than analyzing every string in the codebase uniformly, thereby improving security where needed while conserving computational resources in less critical areas
Solution Approach 2:
The patent implements partial action by selectively analyzing strings based on risk assessment and pattern matching, focusing computational resources on high-priority areas such as security-sensitive strings and coding standard violations, while using lighter analysis for less critical strings, thus balancing security improvement with resource conservation
Data Source
AI summary
A method for string analysis in a code scanning engine comprises a string analysis rule definition, the string analysis rule definition including a search pattern and a test criterion. At least a portion of a string in a source code file is determined to be a match to the search pattern. The test criterion is evaluated against at least a portion of the string. An indication of a result of the evaluation of the first test criterion is provided.