Unified Artifact Modeler for Multi-Capability UI Consistency
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Solution Overview
Problem
Users face challenges in efficiently using multiple software user interface applications due to differences in terminology, user interfaces, and functionalities across various capabilities, making it difficult to integrate and manage artifacts across different systems and applications.
Innovation Solution
A common modeler tool provides a unified canvas, property sheet, and palette that can be configured for different capabilities, allowing users to create artifacts for multiple applications using a single process, reducing the need to learn separate modelers for each capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate modelers are used for each capability, then each capability can have its own customized interface and terminology, but users must learn multiple different modelers and interfaces
Solution Approach 1:
The patent implements a universal modeler that can handle multiple capabilities (API proxy, integration flow, data exchange) through a single unified interface. The modeler is configured with capability-specific settings and terminology mappings, allowing it to serve multiple functions while maintaining consistency. This eliminates the need for separate modelers for each capability, reducing user learning curve while preserving capability-specific customization through configuration rather than separate software.
2Adaptability or versatility
If separate modelers are used for each capability, then each capability can be independently configured, but the system complexity increases with multiple modelers to maintain
Solution Approach 1:
The patent merges multiple separate modelers into a single unified modeler that handles all capabilities. Instead of maintaining separate software applications for API proxy modeling, integration flow modeling, and data exchange modeling, the system combines them into one modeler with capability-specific configuration modes. This reduces system complexity by eliminating redundant codebases, interfaces, and maintenance requirements while preserving independent configuration capabilities through modular design and capability-specific settings.
3Ease of operation
If a unified modeler is used for all capabilities, then user learning curve is reduced and interface consistency is improved, but capability-specific terminology and interfaces may be lost
Solution Approach 1:
The patent applies local quality by implementing capability-specific terminology and interface elements within the unified modeler through configuration. Different capabilities (API proxy, integration flow, data exchange) can have their own customized vocabularies, component names, and interface behaviors while sharing the same underlying modeler engine. This allows the system to maintain capability-specific characteristics locally within each capability context while preserving overall interface consistency at the unified modeler level.
Data Source
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AI summary
According to some embodiments, systems and methods are provided including receiving an artifact generating request; receiving selection of an artifact type; generating a user interface display including a modeling canvas, the modeling canvas including a client, a target and a build space; receiving one or more components associated with the artifact type on the modeling canvas, wherein the components are populated on the generated modeling canvas in response to received selection of the artifact type; receiving a flow for the artifact type, the flow including a first link of the client to a first component of the one or more components and a second link of the target to one of the one or more components; defining properties for each received component and each link; generating an artifact; and storing the artifact. Numerous other aspects are provided.