Vendor-Agnostic Validation Framework Using Native and Wrapped Components

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Solution Overview

Problem

Existing data validation frameworks are tied to specific technologies, requiring complex systems and third-party software, which increases costs and inefficiencies, especially in diverse technological environments like charities, government, and healthcare.

Innovation Solution

A platform-agnostic framework that leverages native capabilities of existing technology to automatically validate data without relying on specific server-client relationships, using a validation framework to determine if software components are native or adaptable to a predetermined operating system, and integrating them into a software framework without additional software deployment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a technology-specific validation framework is used, then validation can be performed with established tools, but the system complexity increases and requires third-party software

Engineering Contradiction:

Improvevalidation reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The validation framework leverages the native capabilities of existing technology stacks to perform self-validation without requiring external third-party tools. Each technology stack includes its own validation mechanisms that can be invoked directly, eliminating the need for separate validation software and reducing system complexity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The framework provides a universal validation interface that works across multiple technology stacks (Java, .NET, Node.js, etc.) through a common architecture. This multi-functional design allows the same validation mechanism to serve different technology platforms, reducing the need for technology-specific validation tools and simplifying the overall system.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If technology-specific validation frameworks are used, then validation can be performed, but additional software deployment is required

Engineering Contradiction:

Improvedata validation accuracyVSAvoidsoftware deployment ease

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The validation capability is embedded within each technology stack's native environment, allowing the system to validate data using resources already available in the deployment context. This eliminates the need for separate software deployment and installation, as validation functions are inherently available through the existing technology infrastructure.

Inventive Principle:

Principle #25Self-service

3Reliability

If multiple validation frameworks are used across different technologies, then comprehensive validation is achieved, but resource consumption increases

Engineering Contradiction:

Improvevalidation coverageVSAvoidcomputational resource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The framework implements a universal validation layer that can operate across different technology stacks using a single set of validation rules and mechanisms. This multi-functional approach allows the same validation logic to serve multiple technologies, reducing redundant computational resources while maintaining comprehensive validation coverage across all platforms.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Reliability

If technology-specific validation is performed, then validation can be executed, but adaptability to different operating systems decreases

Engineering Contradiction:

Improvevalidation executionVSAvoidoperating system adaptability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The validation framework is designed with universal compatibility across multiple operating systems and technology stacks. The common architecture and standardized interfaces allow the validation mechanism to adapt to different operating environments (Windows, Linux, macOS, etc.) and technology platforms without requiring technology-specific implementations, thereby enhancing adaptability while maintaining reliable validation execution.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12536082B1Systems, methods, and devices for a vendor-agnostic framework for automated validation of applications

Publication Date: 2026.01.27 NIRVA MEDICAL

AI summary

Systems, methods, and devices for integrating a software component into a software framework and for orchestrating and integrating data are disclosed. In one implementation, the disclosed system may receive a software component with a sequence of instructions. Consistent with disclosed embodiments, the system may determine whether the sequence of instructions is native to a predetermined operating system. Further, the system may add the sequence of instructions to a framework configuration interpreter engine when the sequence of instructions is native. Alternatively, the system may use a framework wrapper engine to adapt the sequence of instructions to be added to the framework configuration interpreter engine when the sequence of instructions is not native, and then add the adapted sequence of instructions to the framework configuration interpreter engine. The system may be configured to integrate, using the framework configuration interpreter engine, the sequence of instructions as a software component into the software framework.