Source Code Library Upgrades for Vulnerability and Compliance Issues
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Solution Overview
Problem
Existing software development tools struggle with efficiently identifying and upgrading source code libraries due to the complexity of manually correcting vulnerabilities, security issues, and compliance policies, leading to inefficiencies and potential security risks.
Innovation Solution
A system and method that uses machine learning, natural language processing, and static/dynamic code analysis to automatically identify problematic libraries and suggest suitable alternatives, modifying the source code to incorporate these alternatives and resolve performance limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification and correction of library issues is performed, then accuracy of issue detection is improved, but time consumption and labor effort increase significantly
Solution Approach 1:
The system performs self-service by automatically detecting library issues, generating replacement recommendations, and modifying source code without requiring manual intervention. The tool analyzes dependency graphs, identifies vulnerable libraries, and autonomously generates upgrade paths, eliminating the need for developers to manually review and correct each issue.
Solution Approach 2:
The patent replaces the mechanical manual process of reviewing library files with automated computational systems. Machine learning models analyze code patterns and dependency relationships, while automated code generation tools create replacement code, substituting human manual operations with intelligent algorithms that achieve both speed and accuracy.
2Difficulty of detecting and measuring
If existing library identification tools are used, then issue detection capability is improved, but ease of operation deteriorates due to manual correction requirements and false positives
Solution Approach 1:
The system implements feedback mechanisms where it continuously monitors library usage, detects issues in real-time, and provides automated recommendations. The tool learns from previous corrections and refines its detection algorithms, reducing false positives over time while maintaining high detection accuracy across evolving codebases.
Solution Approach 2:
The patent introduces an intermediary layer between the codebase and the developer. This intermediary system (the library analysis tool) acts as a mediator that automatically handles issue detection, validation, and resolution recommendations, shielding developers from direct engagement with complex library management tasks.
3Productivity
If libraries are used to improve development productivity, then coding efficiency is improved, but reliability deteriorates due to security vulnerabilities and compliance issues in outdated libraries
Solution Approach 1:
The system performs preliminary action by proactively detecting vulnerable libraries before they can be exploited. It continuously monitors library versions against known vulnerability databases and compliance requirements, identifying issues ahead of time and generating automated replacement recommendations to prevent security breaches and compliance violations.
Solution Approach 2:
The patent converts the harmful effect of using outdated libraries into a beneficial process by automatically detecting their vulnerabilities and generating targeted upgrade recommendations. Instead of simply flagging problems, the system transforms vulnerability reports into actionable upgrade paths that improve both security and compliance while maintaining productivity benefits.
Data Source
AI summary
A method and apparatus are disclosed for upgrading libraries in a source code program by evaluating libraries in the source code program for predetermined selection criteria specifying library performance limitations to identify at least a first library which does not meet the plurality of predetermined selection criteria and then identifying a first alternative library that is suitable for substitution for the first library so that the source code program may be automatically modified to replace the first library with the first alternative library, thereby generating a modified source code program having an upgraded library functionality.


