Automated Model Maturity Evaluation System
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Solution Overview
Problem
Current methods for evaluating model maturity in model-based engineering are time-consuming and prone to inconsistency, as they rely on human operators evaluating complex criteria, leading to varying results and increased costs, which limits the information available for integration and management teams during product development.
Innovation Solution
A computer system and product manager are implemented to determine the maturity state of models by evaluating whether they meet specific criteria and confidence levels, allowing for a structured and consistent assessment of model maturity, thereby reducing complexity and time associated with determining model maturity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human operators evaluate model maturity using complex criteria, then comprehensive assessment can be achieved, but evaluation time and inconsistency increase
Solution Approach 1:
The patent replaces the mechanical human evaluation process with an automated computer-based system that uses algorithms to assess model maturity. The system automatically compares model artifacts against predefined maturity criteria, eliminating manual review while maintaining comprehensive assessment through structured evaluation rules and confidence level calculations.
Solution Approach 2:
The evaluation system enables models to be self-assessed by automatically comparing their own artifacts and metadata against the maturity criteria. The system performs self-service evaluation by retrieving model information, applying assessment rules, and generating maturity determinations without requiring external human operators, thereby reducing evaluation time while maintaining precision.
2Measurement precision
If human operators evaluate model maturity, then detailed assessment can be performed, but consistency and reliability decrease
Solution Approach 1:
The system replaces human judgment with automated algorithmic evaluation that applies the same criteria consistently to all models. The computer-based system eliminates variability introduced by different human operators, ensuring that the same model evaluated at different times or by different operators yields identical results, thereby improving reliability while maintaining detailed assessment capability.
Solution Approach 2:
The patent transforms the evaluation process from subjective human assessment to objective parameter-based measurement. By defining specific criteria parameters with clear thresholds and confidence level calculations, the system converts qualitative judgment into quantitative measurement, ensuring consistent and reliable results across different evaluations while maintaining detailed assessment granularity.
3Measurement precision
If comprehensive criteria are used for model evaluation, then assessment thoroughness improves, but system complexity increases
Solution Approach 1:
The patent segments the comprehensive evaluation criteria into modular, independent assessment dimensions such as model structure, behavior, data completeness, and integration capability. Each dimension can be evaluated separately with its own set of criteria, allowing the system to maintain thoroughness while reducing overall complexity through structured modularity and independent processing of each evaluation aspect.
4Adaptability or versatility
If manual model maturity determination is performed, then flexibility in assessment can be maintained, but productivity decreases
Solution Approach 1:
The system enables automated self-service evaluation that processes multiple models simultaneously without requiring manual intervention for each assessment. The computer-based system automatically retrieves model artifacts, applies evaluation criteria, and generates maturity determinations in bulk, thereby increasing productivity while maintaining flexibility through configurable criteria and adaptable assessment rules that can be adjusted without retraining human operators.
Data Source
AI summary
A method, apparatus, system, and computer program product for evaluating a maturity of a model for a product. A selected maturity state is determined by a computer system for the model for evaluation. A determination is made by the computer system as to whether the model meets a set of criteria for the selected maturity state and a confidence level for the selected maturity state. A model action is performed by the computer system using the model when the model meets the set of criteria for the selected maturity state and the confidence level for the selected maturity state.