Self-configuring Agent System for Legacy Host Interface Transformation
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Solution Overview
Problem
Legacy software host applications with character-based interfaces pose challenges in automatically recognizing and transforming their paradigms for integration with graphical web interfaces, as existing solutions require predefined maps and hardcoding, which are inefficient and inflexible for handling complex user interface components.
Innovation Solution
Deploying multiple agents to scan character streams and recognize complex host components contextually, converting them into corresponding web browser-enabled widgets without prior knowledge of the host application interface, using a contextual approach to handle overlapping regions and conflicts through priority assignment and dynamic rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If predefined maps and hardcoding are used to transform host interfaces to web interfaces, then transformation accuracy is improved, but device complexity and development time increase
Solution Approach 1:
The system automatically analyzes host interface screens and generates web interface transformations without requiring manual predefined maps or hardcoding. The transformation engine self-configures by detecting host components and their relationships, eliminating the need for extensive programming while maintaining accurate transformations.
Solution Approach 2:
An intermediary transformation engine is introduced between the host interface and web interface layers. This engine automatically analyzes host screen data, identifies interface components, and generates appropriate web interface transformations, serving as a mediator that eliminates the need for manual mapping while ensuring accurate transformations.
2Reliability
If manual predefined maps are created for host interface transformation, then transformation reliability is improved, but productivity decreases
Solution Approach 1:
The transformation system performs self-configuration by automatically analyzing host interface screens and generating transformation rules on-demand. This eliminates manual map creation while maintaining reliable transformations through automated detection of host components and their relationships.
Solution Approach 2:
The system performs preliminary analysis of host interface screens to automatically generate transformation rules before actual web interface rendering. This preliminary automated configuration ensures reliable transformations without requiring manual map creation, significantly improving development productivity.
3Adaptability or versatility
If contextual analysis with multiple agents is used to recognize host components, then adaptability improves, but processing time increases
Solution Approach 1:
The transformation engine divides host interface analysis into multiple specialized agents, each responsible for detecting specific host components (e.g., fields, buttons, lists). This segmentation enables parallel processing of different interface elements, improving both adaptability and processing efficiency simultaneously.
Solution Approach 2:
The system employs multiple analysis agents that may overlap in their analysis scope, ensuring comprehensive detection of host components. This excessive action approach guarantees that all components are recognized accurately, and the system resolves overlaps through priority mechanisms, maintaining flexibility while managing processing time.
Data Source
AI summary
An improved technique is provided for recognizing a character based user interface having several host component types and transforming the character based user interface to a web enabled user interface. Agents are deployed to consume a character stream which composes the character baded user interface. Each agent scans the character based user interface to determine which host component types exist in the character based user interface. Each agent is specifically designed to determine the existence of a different host component type from the other agents. When an agent fins a host component type, a match region is defined containing the characters of the found host component type. Each agent renders their associated match regions to compose the web enabled user interface.