Interactive Graphical User Interface for Logical Flow Visualization
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Solution Overview
Problem
In scientific research and software development, the increasing specialization among experts leads to gaps in expertise, making it challenging to verify the accuracy of findings and debug complex software algorithms, resulting in slowed dissemination of knowledge and prolonged debugging processes.
Innovation Solution
The development of interactive graphical user interfaces that provide dynamic and visual representations of logical flows, allowing users to navigate and interact with data structures, identify bugs, and manage reliability scores, facilitating efficient exploration and verification of data and software processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subject matter experts increase specialization in a particular discipline, then expertise depth is improved, but gaps in expertise grow and peer review time increases
Solution Approach 1:
The patent segments complex software systems into discrete, visualizable components (nodes and edges) that can be independently examined. This segmentation allows experts to focus on specific portions of a system without needing to understand the entire complex system, thereby reducing peer review time while maintaining expertise depth.
Solution Approach 2:
The patent introduces an intermediary visual representation layer between the complex software system and the expert reviewer. This intermediary graphical interface acts as a mediator that translates complex software structures into comprehensible visual forms, reducing the time experts need to verify findings without compromising their specialized knowledge.
2Adaptability or versatility
If software algorithms are comprised of multiple commands and logic modules, then functional capability is improved, but debugging difficulty increases
Solution Approach 1:
The patent divides complex software algorithms into discrete visual elements (nodes representing commands and logic modules, edges representing flow). This segmentation transforms the invisible software structure into a visible, manageable format where each component can be individually inspected and debugged, reducing debugging difficulty while preserving functional capability.
Solution Approach 2:
The patent adds a visual dimension to software debugging by representing logical flow as spatial relationships in a graphical interface. This dimensional transformation allows developers to perceive software structure and identify bugs through visual patterns rather than solely through text-based code analysis, making debugging easier for complex algorithms.
3Productivity
If user interfaces provide detailed visual representations of data structures, then exploration efficiency is improved, but interface complexity increases
Solution Approach 1:
The patent segments data structures into discrete visual elements (nodes and edges) that can be systematically explored. This segmentation allows users to navigate complex data structures through simple visual cues and interactions, improving exploration efficiency without overwhelming the user with interface complexity.
Solution Approach 2:
The patent implements self-service features where the system automatically generates and updates visual representations of data structures based on user interactions. This automation reduces the complexity burden on the user interface while maintaining high exploration efficiency, as the system adapts the visualization to user needs without requiring complex manual configuration.
Data Source
AI summary
The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable the data analyst to quickly and efficiently explore large volume data sources, such as computer code or intellectual system. A user interface can be implanted that includes a plurality of nodes associated with portions of a process. The nodes may include indications of logical relationships between nodes. Node identifiers may be associated with particular nodes and be usable to select particular nodes. Reliability scores associated with particular nodes can be included.