Software Compatibility Analysis System Using Automated Heuristic Algorithms
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Solution Overview
Problem
Current methods for determining application compatibility across diverse computing environments are manual, time-consuming, and prone to errors, requiring significant manpower and specialized knowledge, leading to inefficiencies and increased costs in ensuring software and hardware functionality.
Innovation Solution
A computerized system and method that allows administrators to select applications and user identities, identifies computing platforms, and determines compatibility, providing indicators of compatibility through an operator interface, utilizing a database and heuristic algorithms to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual testing methods are used to determine application compatibility, then specialized knowledge and diagnostic tools can be utilized to detect defects, but the process becomes time-consuming and requires significant manpower
Solution Approach 1:
The patent replaces manual mechanical testing processes with an automated computerized system that uses algorithms to determine application compatibility. The system automatically collects device information, compares it against application requirements, and generates compatibility reports without human intervention, thereby eliminating the time-consuming nature of manual testing while maintaining detection accuracy.
Solution Approach 2:
The compatibility determination system performs self-service by autonomously executing the compatibility assessment process. The system automatically gathers device specifications, applies compatibility algorithms, and generates results without requiring specialized human operators to manually test each application-device combination, thus reducing both time and manpower requirements.
2Reliability
If manual compatibility determination processes are used across multiple applications and devices, then each combination can be thoroughly verified, but the complexity and cost increase significantly
Solution Approach 1:
The patent implements a universal compatibility determination system that can handle multiple applications and diverse device types through a single unified platform. The system uses standardized algorithms and data structures that work across different application types and device configurations, eliminating the need for separate manual testing processes for each application-device combination and thereby reducing overall system complexity.
Solution Approach 2:
The system manages complexity by dynamically adjusting testing parameters and algorithm selection based on the specific application and device being evaluated. Rather than using a fixed complex process for all cases, the system adapts its approach by changing parameters such as which compatibility checks to perform and what thresholds to apply, thereby maintaining reliability while reducing unnecessary complexity for each specific case.
3Manufacturing precision
If traditional manual methods are used for compatibility determination, then detailed analysis can be performed, but errors occur resulting in poorly-functioning software
Solution Approach 1:
The patent replaces human manual analysis with automated computerized algorithms that objectively evaluate application compatibility. The system eliminates human error by using consistent, rule-based algorithms to assess compatibility criteria, thereby improving measurement precision while maintaining the detailed analysis capability through systematic parameter checking and comparison.
4Productivity
If automated compatibility testing is implemented, then time and cost are reduced, but the system requires sophisticated algorithms and data processing capabilities
Solution Approach 1:
The patent segments the compatibility determination process into distinct modular components: device information collection, application requirement extraction, compatibility algorithm execution, and result generation. Each module handles a specific aspect of the process independently, which reduces the complexity of individual algorithms while maintaining high overall productivity through efficient parallel processing and standardized interfaces between modules.
Data Source
AI summary
Computer-implemented systems, methods, and computer-readable media are provided for facilitating analysis of a software application to determine its compatibility with one or more computer platforms. In accordance with some embodiments, a processor may receive, via an operator interface, a selection of an application and a user identity, and the processor may determine compatibility status between the application and at least one computing platform of a device associated with the user identity, and generate a report with the compatibility results.