AI-Based Requirements Extraction and Artifact Relationship Mapping
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Solution Overview
Problem
Traditional systems engineering requires manual and laborious processes for extracting system requirements and establishing relationships between engineering artifacts, leading to increased project timelines and costs due to changes in upstream or downstream documents.
Innovation Solution
Utilizes artificial intelligence (AI)-based natural language processing (NLP) techniques to analyze, merge, and identify relationships between systems engineering artifacts, facilitating automated analysis and improving management situational awareness and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to extract system requirements and establish relationships between engineering artifacts, then expertise and careful analysis can be applied, but the process becomes laborious and significantly impacts project timelines and cost
Solution Approach 1:
The patent replaces manual mechanical processes (technical experts performing key word searches and analysis) with an automated NLP-based system that uses artificial intelligence to extract requirements and establish relationships between engineering artifacts, thereby reducing labor time while maintaining accuracy
Solution Approach 2:
The patent introduces an intermediary NLP processing layer that automatically analyzes engineering documents, extracts key terms and relationships, and generates structured outputs, serving as a bridge between raw documents and final requirement specifications without requiring direct manual intervention
2Measurement precision
If manual processes are used to extract system requirements and establish relationships between engineering artifacts, then detailed analysis can be performed, but the process requires significant human resources and increases cost
Solution Approach 1:
The patent substitutes manual expert analysis with automated NLP algorithms that perform relationship identification and requirement extraction, eliminating the need for extensive human resources while maintaining or improving analysis accuracy through consistent application of NLP techniques
Solution Approach 2:
The system enables self-service automated analysis where the NLP processing automatically extracts requirements and establishes relationships without requiring continuous human intervention, thereby reducing labor costs and improving cost efficiency while maintaining high accuracy through algorithmic consistency
3Adaptability or versatility
If changes are made to upstream or downstream engineering documents, then system requirements can be updated, but manual reevaluation of impacted relationships is required
Solution Approach 1:
The patent implements feedback mechanisms where the NLP system continuously monitors and reanalyzes engineering documents when changes occur, automatically updating requirement extractions and relationship mappings based on modified inputs, thereby enabling efficient adaptation to changes without manual reevaluation
Solution Approach 2:
The system performs preliminary automated analysis of document relationships and dependencies before changes are made, establishing a baseline that can be automatically compared against post-change states, enabling efficient detection and handling of impacted relationships without requiring comprehensive manual reevaluation
Data Source
AI summary
Methods and systems are described that use artificial intelligence (AI)-based natural language processing (NLP) techniques to rapidly analyze, merge, and/or identify relationships between systems engineering artifacts (e.g., system requirements, system architecture descriptions, research requirements, risk assessments, etc.) to accelerate systems engineering program management, technical capability development, and acquisition initiatives associated with systems engineering projects.