Library Suggestion Engine for Code Snippet Matching

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Solution Overview

Problem

Programmers face difficulties in identifying and implementing suitable library functions for code optimization due to the vast number of available libraries, requiring significant effort and expertise, and existing solutions are inefficient in promoting library use.

Innovation Solution

A system utilizing machine learning, natural language processing, and static/dynamic code analysis to automate the generation of library function recommendations by pruning and matching candidate code snippets with library functions, providing validated suggestions for substitution or replacement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If programmers manually identify and implement library functions for code optimization, then code quality and reliability improve, but the time and effort required increase significantly

Engineering Contradiction:

Improvecode qualityVSAvoidtime required for library identification

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by automatically analyzing source code and suggesting library function substitutions without requiring programmer intervention in the identification process. The automated code analysis performs the time-consuming task of matching code patterns against library functions, allowing programmers to simply review and accept suggestions rather than manually searching through thousands of library files.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of code analysis and library matching with an automated computer-based system. The system uses programming algorithms to automatically examine source code, identify optimization opportunities, and generate suggestions, substituting the manual mechanical process with an automated information processing system that operates continuously without human intervention.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If programmers manually review and modify library code, then code adaptability improves, but the complexity of the development process increases

Engineering Contradiction:

Improvecode adaptabilityVSAvoiddevelopment process complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the complex library selection and adaptation process into discrete automated steps: code analysis, pattern matching, suggestion generation, and code modification. By breaking down the complex task into manageable segments handled automatically at each stage, the system reduces overall process complexity while maintaining adaptability through targeted customization of library functions based on specific code requirements.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary automated analysis layer between the source code and the library functions. This intermediary component automatically bridges the gap by analyzing code patterns, matching them against appropriate library functions, and generating adapted suggestions, thereby simplifying the interaction between programmers and the vast library ecosystem without requiring direct manual navigation through complex library structures.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If existing library solutions are used to promote library use, then code reuse is encouraged, but the solutions are extremely difficult to implement practically

Engineering Contradiction:

Improvecode reuseVSAvoidimplementation difficulty

Core Design Contradiction:

ProductivityVSEase of manufacture

Solution Approach 1:

The system implements self-service by automatically performing code analysis and generating library substitution suggestions without requiring manual configuration or complex setup. The automated analysis continuously monitors source code and proactively identifies optimization opportunities, eliminating the need for manual implementation of library promotion mechanisms while maintaining high code reuse rates through intelligent, context-aware suggestions.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary automated analysis of source code before any library substitution occurs. By pre-analyzing code patterns, identifying potential optimization opportunities, and preparing tailored suggestions in advance, the system eliminates the need for complex manual implementation processes. The preliminary action of automated code examination and suggestion generation makes the overall process simple to implement while maximizing code reuse effectiveness.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20230315401A1Library Suggestion Engine

Publication Date: 2023.10.05 DEVFACTORY INNOVATIONS FZ LLC

AI summary

A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying candidate code snippets from the plurality of input source code files that meet a similarity threshold measure for library functions stored in the system library and then identifying at least a first validated code snippet from the candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics so that the developer is presented with a library function recommendation which includes the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function.