Abstraction-aware GUI Configurations for EDA Tools
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Solution Overview
Problem
Modern Electronic Design Automation (EDA) tools face complexity challenges due to the sheer number of user interface controls needed for IC design, leading to cluttered and overwhelming interfaces that hinder effective task completion, with existing systems failing to provide scalable and customizable configurations to accommodate varying tasks and data views.
Innovation Solution
A method for selectively displaying user interface configurations by storing and retrieving sets of graphical user-operable controls associated with data view abstractions, allowing dynamic adjustment of control visibility, positioning, and geometry in response to user events, enabling seamless switching between different data view abstractions and customizable configurations for specific tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple user interface controls are provided for all possible IC design tasks, then the functionality and versatility of the EDA tool is improved, but the user interface becomes cluttered and overwhelming, reducing ease of operation
Solution Approach 1:
The user interface dynamically reconfigures itself based on the currently selected data view abstraction. When a user switches between different abstractions (e.g., schematic view, layout view, simulation view), the system automatically adjusts which controls are visible, their positions, and their configurations to match the specific task requirements of that abstraction level.
Solution Approach 2:
The interface is segmented into multiple independent configurable elements (toolbars, property editors, docking windows) that can be selectively displayed or hidden. Each element can be independently configured based on the data view abstraction, allowing the interface to present only relevant controls for the current task while hiding irrelevant ones.
2Ease of operation
If the user interface is simplified by hiding irrelevant controls, then ease of operation is improved, but the adaptability to handle diverse IC design tasks is reduced
Solution Approach 1:
The interface maintains dynamic adaptability through automatic reconfiguration when users switch between data view abstractions. The system monitors the current abstraction level and automatically adjusts the visible controls and their configurations, ensuring that relevant functionality is always available without requiring manual interface setup.
Solution Approach 2:
The interface performs self-configuration based on the selected data view abstraction. Instead of requiring users to manually select or configure interface elements, the system automatically determines which controls are appropriate for the current abstraction level and configures them accordingly, reducing user burden while maintaining full functionality.
3Ease of operation
If pre-defined interface configurations are provided for different tasks, then ease of operation is improved, but device complexity increases due to the need to store and manage multiple configurations
Solution Approach 1:
Multiple pre-defined interface configurations are prepared in advance for different data view abstractions and tasks. When a user selects a particular abstraction or task, the system automatically retrieves and applies the corresponding pre-configured interface layout, eliminating the need for users to manually configure elements while avoiding the complexity of real-time configuration generation.
Data Source
AI summary
A user interface to an application processing complex data of multiple data view abstractions allows selection, placement, size and other configurable characteristics of interface components to be controlled by a user and then associated with the data abstraction and processing task. Multiple configurations may be created to simplify the interface to include only necessary controls given an abstraction level of the data view and the task on that data. The configurations may be stored using symbolic references and subsequently loaded on demand into the interface. Mechanisms may be applied to ensure that similarly referenced configurations in storage are resolved and only the desired configuration is applied.