Application Compatibility Verification via DNA Analysis
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Solution Overview
Problem
Current methods for ensuring application compatibility across different platforms are manual, time-consuming, and prone to false positives, requiring significant human effort and resources, especially during frequent platform migrations.
Innovation Solution
A machine learning-based system that analyzes an application's 'DNA' – comprising static and runtime data points – to determine compatibility with various platforms, using heuristic algorithms and digital signatures to rapidly verify compatibility and generate reports, reducing the need for manual testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual testing methods are used to verify application compatibility, then accuracy can be maintained through expert analysis, but the process becomes extremely time-consuming and resource-intensive
Solution Approach 1:
The patent creates a digital copy of the application's compatibility characteristics by extracting and analyzing its DNA (static and runtime data points). This digital representation allows automated comparison against platform requirements without requiring actual manual testing of the application on each platform, thus maintaining accuracy while dramatically reducing time consumption.
Solution Approach 2:
The patent replaces the mechanical manual testing process with an automated computational system. Instead of human experts manually testing applications on different platforms, the system uses automated DNA extraction, comparison algorithms, and machine learning models to determine compatibility, eliminating the time-consuming manual intervention while preserving verification accuracy.
2Reliability
If manual testing with diagnostic tools is performed to ensure accurate compatibility detection, then reliability can be improved, but the complexity of the process increases due to specialized knowledge requirements
Solution Approach 1:
The patent enables the application itself to provide the necessary information for compatibility verification through automated DNA extraction. The system automatically collects static and runtime data points directly from the application without requiring external diagnostic tools or specialized testing equipment, thereby maintaining reliability while reducing process complexity.
Solution Approach 2:
The patent creates a universal compatibility verification system that can analyze any application regardless of its specific type or platform. The DNA extraction and comparison methodology works across different application categories and platforms, eliminating the need for application-specific testing procedures and reducing overall process complexity while maintaining reliable detection.
3Manufacturing precision
If traditional manual verification methods are used for enterprise applications, then thoroughness can be achieved, but the cost in terms of man-hours and resources becomes prohibitive
Solution Approach 1:
The patent performs compatibility verification in advance by analyzing the application's DNA and comparing it against platform requirements before actual migration or deployment. This preliminary automated analysis ensures thorough verification of compatibility factors without requiring time-consuming manual testing during the migration process itself, thereby maintaining thoroughness while dramatically improving productivity.
Solution Approach 2:
The patent transforms the verification process from a time-intensive manual procedure into an efficient automated parameter-based analysis. By converting compatibility assessment into a systematic comparison of DNA parameters (static and runtime data points) against platform specifications, the system achieves thorough verification at high speed, resolving the contradiction between thoroughness and efficiency.
4Productivity
If automated machine learning methods are used to determine application compatibility, then productivity and speed are improved, but the system complexity increases due to implementation of DNA extraction and analysis mechanisms
Solution Approach 1:
The patent breaks down the complex compatibility verification task into manageable segments: DNA extraction (collecting static and runtime data points), DNA analysis (processing the extracted information), and compatibility determination (comparing against platform requirements). This segmentation allows the system to achieve high productivity through automated processing while managing complexity by dividing the overall task into distinct, implementable components.
Data Source
AI summary
A system and method is provided for discovering application compatibility status, the method being performed by one or more processors, the method comprising receiving a request for determining compatibility of a first application with a platform and organizing a plurality of data points associated with the first application into a plurality of elements. The method also comprises comparing the plurality of elements with a plurality of elements associated with one or more analyzed applications, wherein the one or more analyzed applications have been previously analyzed for compatibility with the platform. The method further comprises identifying a compatibility status of the first application with the platform based on the comparison; and providing, for display, the compatibility status of the first application.