Vendor-Agnostic Validation Framework for Cross-Platform App Integration
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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 computer and network-based systems.
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 integrate and validate software components within a software framework.
Engineering Contradictions & Design Principles
Engineering 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
Solution Approach 1:
The patent creates a universal validation framework that works across multiple technology platforms (Java, .NET, PHP, Python, etc.) without requiring platform-specific tools. The framework uses a common architecture with pluggable validators that can validate data in different formats and against different schemas, eliminating the need for separate validation systems for each technology stack.
Solution Approach 2:
The patent introduces an intermediary validation layer that sits between the data source and the application logic. This mediator framework provides a standardized interface for validation rules and validators, allowing different validation strategies to be implemented without changing the core application code. The intermediary layer handles the complexity of cross-platform validation while presenting a simple interface to developers.
2Adaptability or versatility
If technology-specific validation frameworks are used, then validation functionality is available, but additional software requirements and costs increase
Solution Approach 1:
The framework provides universal validation functionality that adapts to different technologies through a common architecture. Instead of requiring separate validation software for each platform, the single framework supports multiple data types, formats, and validation rules through its extensible validator system, reducing software requirements while maintaining versatility.
Solution Approach 2:
The validation framework is segmented into independent, modular components including validators, validation rules, and configuration files. Each validator handles a specific validation task and can be independently configured and deployed. This segmentation allows the framework to be lightweight and flexible, requiring minimal software infrastructure while providing comprehensive validation capabilities.
3Manufacturing precision
If manual validation processes are used, then complex validation logic can be implemented, but time consumption and resource usage increase
Solution Approach 1:
The framework performs preliminary validation actions by pre-compiling validation rules and caching validation results where applicable. Validation schemas and rules are defined in advance and stored in configuration files, allowing the system to quickly apply pre-defined validation logic without requiring complex manual processing during runtime. This preliminary preparation maintains validation accuracy while reducing execution time.
Solution Approach 2:
The validation framework implements self-service mechanisms where validators automatically execute validation rules without requiring manual intervention. The system self-configures validation parameters from metadata and configuration files, and automatically applies appropriate validation strategies based on the data type and context. This automation maintains high validation accuracy while eliminating time-consuming manual validation processes.
Data Source
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.