Automated Architecture Diagram Integration via Image Feature Mapping
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Solution Overview
Problem
Implementing program-level impact analysis for large and complex computer systems requires significant effort and increases the likelihood of implementation errors due to the need for multiple architecture diagrams, necessitating a system to automatically integrate these diagrams for organizational use.
Innovation Solution
A technical architecture integration system that receives primary and secondary architecture diagrams, identifies touchpoints through image feature mapping, determines node locations using regression algorithms, calculates similarity, and generates an integrated diagram by merging nodes with a concatenation algorithm, introducing random noise to correct for errors, and calculates an overall efficiency score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple architecture diagrams are used to represent large and complex computer systems, then the completeness of system representation is improved, but the effort required for program level impact analysis increases significantly
Solution Approach 1:
The patent merges multiple architecture diagrams into a single integrated diagram by automatically identifying and integrating nodes and connections across different diagrams. This consolidation maintains complete system representation while eliminating the need to manually analyze multiple separate diagrams, thereby reducing the effort and time required for impact analysis.
Solution Approach 2:
The system creates a unified copy of the system architecture that integrates information from multiple source diagrams. This integrated diagram serves as a comprehensive representation that can be analyzed as a single entity, reducing the analytical effort while preserving all system information.
2Loss of information
If multiple architecture diagrams are used to represent large and complex computer systems, then the completeness of system representation is improved, but the possibility of implementation errors increases
Solution Approach 1:
By merging multiple architecture diagrams into one integrated diagram with automated node and connection identification, the system eliminates manual integration errors. The automated process ensures consistent representation of system components and relationships across all source diagrams, thereby reducing implementation errors while maintaining complete system representation.
Solution Approach 2:
The system employs algorithms that automatically verify and reconcile nodes and connections across multiple diagrams, providing feedback mechanisms that detect and correct inconsistencies. This automated verification process reduces the likelihood of implementation errors by ensuring accuracy in the integrated representation.
3Ease of operation
If multiple architecture diagrams are manually integrated, then a unified view of system components is achieved, but the time and resources required for integration increase
Solution Approach 1:
The system performs self-service integration by automatically identifying nodes, determining touchpoints, and merging diagrams without requiring manual intervention. The automated algorithms independently reconcile multiple architecture diagrams into a unified view, eliminating the time and resources that would otherwise be required for manual integration efforts.
Solution Approach 2:
The patent replaces manual mechanical integration processes with automated computational algorithms. Instead of manually comparing and merging diagrams, the system uses image feature mapping routines and regression algorithms to automatically identify and integrate nodes, substituting human effort with automated processing that is both faster and more consistent.
4Measurement precision
If automated image feature mapping and regression algorithms are used to identify touchpoints, then the accuracy of node matching is improved, but the complexity of the integration system increases
Solution Approach 1:
The system introduces intermediate processing steps including image feature mapping routines and regression algorithms that act as mediators between the raw architecture diagrams and the final integrated result. These intermediary algorithms enhance matching accuracy by systematically analyzing diagram features and determining precise node correspondences, while the modular structure of these intermediaries manages overall system complexity.
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products for integration of multiple technical architecture diagrams into a single diagram. Architectural diagrams are commonly used in program level impact analysis and may depict relationships, constraints, and boundaries between components of an individual software program as well as the relationships between multiple software programs, hardware components, and users. The present invention automatically identifies touchpoints, or connections between multiple architecture diagrams and applies a series of image-processing algorithms, generating a single integrated diagram for organizational use. Embodiments of the invention also provide for multiple rounds of image processing, allowing multiple integrated diagrams to be combined into single diagrams.