Autonomous System Modeling for Change Impact Visualization
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Solution Overview
Problem
Complex computing systems face challenges in managing the interplay between software and hardware due to increased complexity, leading to difficulties in understanding the effects of changes on the system, as traditional visualizations are either too abbreviated or too comprehensive, making it difficult to confidently make substantive changes without understanding potential repercussions.
Innovation Solution
Generating interactive, consumable models that illustrate structural and operational relationships between system elements, which are automatically updated based on system changes, allowing for safer and more effective hardware or software modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional visualizations show only the entire system, then the visualization is comprehensive, but the detail required for developers to confidently make substantive changes is not provided
Solution Approach 1:
The system visualization is segmented into multiple levels of detail that can be independently explored. The visualization framework allows users to navigate between high-level system overview and detailed component views, enabling comprehensive information access without overwhelming complexity in a single view.
Solution Approach 2:
The visualization is made dynamic through interactive elements that allow users to adjust the level of detail, expand or collapse components, and navigate through different aspects of the system. This dynamic capability enables the same visualization to adapt between comprehensive overview mode and detailed examination mode.
2Ease of operation
If traditional visualizations show an abbreviated version of the system, then the visualization is consumable, but the detail required for developers to confidently make substantive changes without understanding repercussions is not provided
Solution Approach 1:
The visualization framework incorporates feedback mechanisms that show developers the potential repercussions of proposed changes before implementation. When developers interact with the visualization to explore system relationships, they receive feedback about how changes to one component may affect other components, enabling confident modifications while understanding system-wide impacts.
3Loss of information
If the full complexity of the system is shown in the visualization, then all system elements are visible, but the visualization is not easily digestible and leads to lower confidence in changes
Solution Approach 1:
The visualization is divided into manageable segments or panels that can be independently viewed and interacted with. Instead of presenting the complete complex system at once, the framework segments information into logical groups that are easier to process, with the ability to expand segments as needed for comprehensive viewing.
Solution Approach 2:
Different portions of the visualization are assigned different levels of detail and visual complexity appropriate to their content. Critical components that require detailed examination are presented with higher local quality (more detail), while less critical areas are summarized, making the overall visualization digestible while preserving necessary information.
Data Source
AI summary
Embodiments of the present disclosure may relate to a method of generating a model of a system (e.g., a computing system), where the model may include one or more of a structural or architectural model and a behavioral or dynamic model. In some embodiments, the method may include obtaining data that may indicate one or more elements associated with functionality of a system (e.g., one or more software elements and/or hardware components). In some embodiments, the method may additionally include determining one or more operational dependencies corresponding to the one or more elements associated with the functionality of the system. Further, the method may include generating a model of the system based at least on the obtained data, the one or more elements, and the determined operational dependencies.