Interactive Graph Navigating Application Code
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Solution Overview
Problem
Programmers face challenges in navigating and debugging complex application code due to the lack of effective tools for visualizing code elements and their relationships, making it difficult to identify performance bottlenecks and debug issues efficiently.
Innovation Solution
An interactive graph-based system that displays code elements as nodes with edges representing relationships, allowing users to select nodes or edges to view corresponding source code, set breakpoints, and analyze performance metrics, while also providing filtering and animation features to traverse the code flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If programmers use traditional code navigation methods to examine and test application code, then they can identify and locate problem areas, but it becomes difficult to efficiently understand code relationships and performance bottlenecks in complex applications
Solution Approach 1:
The patent transforms traditional linear code navigation into a two-dimensional visual graph interface where code elements are represented as nodes and relationships as edges. This dimensional change allows programmers to simultaneously view multiple code elements and their interconnections, making it easier to navigate complex codebases and understand relationships without being lost in linear text traversal.
Solution Approach 2:
The system creates a visual copy or representation of the actual code structure as an interactive graph. This graphical copy preserves the essential relationships and connections of the original code while providing an intuitive visual interface for exploration, allowing programmers to analyze code structure without directly navigating the complex source code text.
2Productivity
If programmers manually trace through code to understand relationships and performance, then they can identify bottlenecks, but it consumes excessive time and reduces productivity
Solution Approach 1:
The system performs preliminary analysis of code relationships and performance metrics automatically, generating the interaction graph and populating it with relationship data before the programmer needs to analyze anything. This preliminary action includes tracing code executions, identifying relationships, and calculating performance metrics, so that when the programmer views the graph, all this analysis work is already completed and visualized.
Solution Approach 2:
The patent replaces the manual mechanical process of stepping through code line-by-line with an automated computational system that generates visual graphs and highlights relationships. This substitution eliminates the time-consuming manual tracing process while providing comprehensive code relationship analysis through automated graph generation and rendering.
3Loss of information
If the graph displays all code elements and relationships in detail, then comprehensive analysis is possible, but the interface becomes cluttered and difficult to navigate
Solution Approach 1:
The system applies local quality by allowing programmers to focus on specific regions or types of relationships in the graph. Different parts of the graph can be examined in detail while other parts remain summarized or hidden. This enables comprehensive analysis capability while maintaining interface clarity, as users can dive deep into specific code relationships of interest without being overwhelmed by the entire codebase at once.
Solution Approach 2:
The patent segments the complex code relationship graph into manageable sections or categories that can be independently explored. Code elements can be grouped by type, function, or relationship category, allowing programmers to systematically analyze different aspects of the codebase separately rather than being presented with a single overwhelming monolithic view of all relationships.
Data Source
AI summary
Code elements may be selected from a graph depicting an application. The graph may show code elements as nodes, with edges representing connections between the nodes. The connections may be messages passed between code elements, code flow relationships, or other relationships. When a code element or group of code elements are selected from the graph, the corresponding source code may be displayed. The code may be displayed in a code editor or other mechanism by which the code may be viewed, edited, and manipulated.