Automated Requirement Generation for Aerospace Systems
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Solution Overview
Problem
Establishing accurate and unambiguous requirements for complex products like aerospace vehicles is inefficient and costly, as current methods rely heavily on human expertise and are prone to errors, leading to delays and increased costs due to the complexity of defining millions of data items and integrated product architecture.
Innovation Solution
A system and method incorporating a requirement generator and quality assessor that automatically establishes structured requirements in natural language, providing real-time feedback on quality levels and alerting changes in engineering data, allowing for efficient and accurate requirement definition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human developers manually establish requirements for complex products, then the requirements can be reviewed and revised with high skill, but the process is inefficient and costly, taking millions of man-hours spanning a decade or more
Solution Approach 1:
The patent replaces the manual mechanical process of requirement establishment with an automated computer-based system. The requirement generator automatically creates structured requirements using natural language processing and templates, eliminating the need for manual drafting while maintaining quality through automated validation rules and consistency checks.
Solution Approach 2:
The system enables self-service requirement generation where the software automatically creates, validates, and manages requirements without continuous human intervention. The automated quality assessor continuously monitors requirement quality metrics, allowing the system to self-correct and maintain high standards independently.
2Reliability
If human developers manually establish requirements for complex products, then the requirements can be thoroughly reviewed, but the process is prone to errors and delays
Solution Approach 1:
The automated quality assessor provides continuous feedback on requirement quality by analyzing generated requirements against predefined criteria, consistency rules, and completeness checks. This immediate feedback loop enables real-time correction of errors and ensures high accuracy without time-consuming manual review cycles.
Solution Approach 2:
The system performs preliminary validation and quality assessment during the automated requirement generation process itself, rather than as a separate post-processing step. This preliminary action ensures errors are caught and corrected immediately, preventing propagation of defects and eliminating delayed discovery of requirement issues.
3Adaptability or versatility
If the requirement structure is complex to define millions of data items, then the integrated product architecture can be comprehensive, but the drafting becomes far more complicated and impossible to review
Solution Approach 1:
The patent segments the complex requirement establishment process into modular components: requirement templates, data item categories, validation rules, and quality metrics. This segmentation allows the system to manage millions of data items through standardized, reusable units rather than treating each requirement as a unique complex entity.
Solution Approach 2:
The requirement generator employs universal templates and patterns that can be applied across different product domains and requirement types. These multi-functional templates automatically adapt to various contexts, enabling comprehensive coverage of millions of data items without requiring separate complex drafting procedures for each case.
4Reliability
If more skilled workers are employed to establish requirements, then the quality of requirements improves, but the cost and time requirements increase
Solution Approach 1:
The patent substitutes human expert labor with an automated intelligent system that performs requirement generation and quality assessment. This replacement eliminates the need to recruit, train, and manage large numbers of skilled requirement engineers while maintaining or exceeding the quality standards previously achieved only through extensive human expertise.
Data Source
AI summary
A method and apparatus for establishing a requirement. A requirement generator is configured to establish a structure for the requirement and establish elements for the requirement. A quality assessor is configured to establish a quality level for the requirement.