Code Criticality Heatmaps for Application Resource Optimization
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Solution Overview
Problem
There is a need for a system to optimize resource consumption by generating software code criticality and execution heatmaps to improve the performance of entity applications without deteriorating the performance of entity servers.
Innovation Solution
A system comprising a resource consumption optimization system that parses through entity applications, generates heatmaps based on token analysis of program code, identifies gaps in test data, and performs corrective actions such as alerting users, modifying or rearranging code to optimize resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If software code is analyzed and heatmaps are generated to identify criticality and execution frequency, then resource consumption optimization is improved, but system complexity increases
Solution Approach 1:
The system segments the software code into discrete lines and tokens, analyzing each individually to generate heatmaps. This segmentation allows the complex analysis task to be broken down into manageable units, enabling resource consumption optimization without overwhelming system complexity
Solution Approach 2:
The patent introduces heatmaps as an intermediary visual representation that mediates between the raw code analysis and the optimization decisions. The heatmaps serve as a intermediate data structure that captures execution frequency and criticality information, enabling optimization without direct complex interactions between analysis and execution systems
2Measurement precision
If test data is analyzed to generate heatmaps, then code execution understanding is improved, but analysis time increases
Solution Approach 1:
The system performs preliminary analysis by generating heatmaps from test data execution before final optimization decisions are made. This preliminary action of executing test data through the code and capturing execution patterns allows for precise measurement of code criticality and frequency without requiring time-consuming analysis during the actual optimization phase
Solution Approach 2:
The patent creates a copy of the execution behavior through heatmaps that represent code criticality and frequency without requiring repeated actual code execution. The heatmap serves as a copy or representation of the execution patterns, enabling precise analysis without the time cost of repeated test runs
Data Source
AI summary
Embodiments of the present invention provide a system for generating software code criticality and execution heatmaps to optimize resource consumption. The system is configured for accessing one or more entity applications associated an entity, wherein the one or more entity applications comprises lines of program code, parsing through the lines of program code associated with the one or more entity applications, generating tokens for each of the lines of program code, generating heatmap associated with each of the lines of program code, wherein the heatmap comprises visual representations associated with each of the tokens generated for each of the line of program code, and displaying the heatmap to one or more users.