Data Dependency Model for UI Factor Validation
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Solution Overview
Problem
Software features incorporated into user interfaces often lack sufficient validation and representation of factors influencing their data, making it difficult for users to understand the relationships and inputs impacting the data presented.
Innovation Solution
A data dependency model is used to map factors and their interrelationships, allowing for the identification and presentation of factors affecting user interface features, enabling users to understand and validate the inputs impacting the data through a directed graph representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If software features are incorporated into user interface without validation checks, then development speed and ease of implementation are improved, but data reliability and information completeness deteriorate
Solution Approach 1:
The system performs preliminary validation and factor identification by analyzing the data dependency model before the software feature is fully implemented. The UI builder automatically determines required factors and validates their presence in the data model, preventing incomplete or unreliable data representations from being deployed to production.
2Reliability
If comprehensive validation and factor representation are implemented in UI features, then data reliability and information completeness are improved, but device complexity and development difficulty worsen
Solution Approach 1:
The UI builder automatically performs factor identification, validation, and dependency analysis without requiring manual intervention from developers. The system self-services by automatically determining required factors from the data dependency model, checking their presence, and generating appropriate UI representations, thereby maintaining information completeness while minimizing added complexity.
Solution Approach 2:
The system provides feedback to developers about missing or insufficient factors in the data model by analyzing the data dependency model and comparing it against required factors. This feedback mechanism guides developers to add necessary factors without overwhelming them with complex validation logic, as the system automatically processes and reports the status of factor completeness.
3Ease of operation
If factors affecting UI data are not properly identified and represented, then ease of operation is improved, but loss of information and user understanding worsen
Solution Approach 1:
The system segments the data dependency model into distinct factors and their relationships, allowing the UI to present information in a structured, manageable way. By breaking down complex data dependencies into individual factors that can be independently identified and validated, the system maintains ease of operation while preventing information loss through comprehensive factor representation.
Data Source
AI summary
A system and method to determine factors providing inputs that affect values of associated data are provided. The method includes detecting incorporation in a user interface of a user interface feature having associated data; determining, from a data dependency model comprising a representation of a directed graph having nodes representing factors, the factors including at least one indirect factor, and edges representing factors providing inputs to other factors, at least one factor providing an input that affects values of the associated data; and presenting one or more of the at least one factor.