Automated Data Binding to Compound Control Properties
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Solution Overview
Problem
Existing systems face challenges in allowing non-programmers to intuitively bind complex data to complex controls within recalculation user interfaces, such as spreadsheet documents, without requiring in-depth knowledge of coding or familiarity with control properties and data sources.
Innovation Solution
The automated binding of a data source to a compound control is facilitated by identifying the properties of the compound control and associating a particular data source with it, using information about both to determine suitable fields for binding, and considering the nature of declarative transformations for binding options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated binding is implemented to enable non-programmers to bind data sources to controls, then ease of operation is improved, but device complexity increases due to the need for automatic identification and matching mechanisms
Solution Approach 1:
The system performs automatic binding without requiring user intervention in the matching process. The computing device automatically identifies properties of the compound control, associates data sources, determines suitable fields, and establishes bindings based on predefined criteria and transformation rules, allowing the system to serve itself in the binding process.
Solution Approach 2:
The system pre-establishes transformation rules, property associations, and field mappings before the actual binding operation. By preparing the transformation framework and data source associations in advance, the system enables automated binding to occur smoothly when needed, without requiring complex real-time decision-making.
2Adaptability or versatility
If automated binding with transformation consideration is implemented, then adaptability is improved by considering transformation nature, but difficulty of detecting and measuring increases due to need to analyze transformation properties
Solution Approach 1:
The system uses transformation rules as intermediaries between data sources and controls. These rules act as a mediating layer that translates data from various formats and structures into the required control input formats, enabling adaptable binding without requiring direct complex analysis of each data source-control pair.
Solution Approach 2:
The system changes parameters such as data format, structure, and type through transformations to make data sources compatible with controls. By modifying data parameters rather than analyzing all possible compatibility scenarios, the system achieves adaptability while avoiding the complexity of comprehensive detection and measurement.
Data Source
AI summary
The automated binding of a data source to a compound control. The properties of the compound control are identified. Furthermore, a particular data source is associated with the compound control. For each of one or more of the properties of the compound control, information regarding the compound control and the data source are used to identify a set of one or more fields of the particular data source that may be bound to the corresponding property of the compound control. If the corresponding property of the compound control has bound thereto an output parameter of a declarative transformation, the nature of the transformation may also be taken into consideration when identifying the set of one or more fields that may be used in order to bind to the corresponding property of the compound control.