DDMS Automated Contract Requirement Extraction and Network Testing
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Solution Overview
Problem
Current document and network management solutions are manual, disjointed, and lack an end-to-end automated process for extracting requirements from documents and triggering network testing, leading to inefficiencies in finance, accounting, and quality assurance.
Innovation Solution
A computing system and method that digitizes documents, stores them in an authoritative CTR governance database, extracts technical requirements, links network function test cases to these requirements, and stores results, enabling automated testing and compliance verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual document management and network testing processes are used, then flexibility and adaptability are maintained, but productivity and efficiency are reduced
Solution Approach 1:
The system performs preliminary actions by pre-processing documents to extract requirements, pre-configuring test cases, and pre-establishing the database structure before actual testing begins. This automation of preliminary tasks significantly improves productivity while reducing manual involvement in routine setup activities.
Solution Approach 2:
The system creates digital copies of documents and stores them in a standardized database format, enabling automated processing and analysis. By converting physical or unstructured documents into structured digital representations, the system achieves both high productivity and maintainable flexibility through programmable operations.
2Productivity
If automated extraction and testing of technical requirements is implemented, then productivity and efficiency are improved, but device complexity increases
Solution Approach 1:
The system segments the complex automation process into distinct modular components: document processing module, requirement extraction module, database management module, and test execution module. Each module handles a specific function independently, which manages system complexity while maintaining high overall productivity through automated workflows.
Solution Approach 2:
The patent introduces an intermediary database structure that acts as a mediator between document inputs and test execution outputs. This standardized intermediate representation simplifies the complexity by providing a uniform interface for data exchange between different system components, enabling automated processing without requiring complex direct integration between all elements.
3Measurement precision
If an authoritative CTR governance database is created to centralize document storage, then measurement precision and tracking accuracy are improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The CTR governance database is designed as a universal multi-functional platform that handles diverse document types, requirements, and test cases through a unified schema. This universal structure improves measurement precision by consistently representing all data in a standardized format, while the use of existing database technologies and standardization frameworks reduces implementation difficulty compared to custom specialized solutions.
Data Source
AI summary
Digital document and network management (DDMS) system includes digitizing a document into a standard digital format, and storing the digitized document in an authoritative CTR governance database. The DDMS system also includes organizing a plurality of technical requirements extracted from the digitized contract within the authoritative CTR governance database, and linking a plurality of network function test cases to the plurality of technical requirements. Furthermore, the DDMS system includes storing a plurality of results in the authoritative CTR governance database.