UI Text String Management via Database File Structure
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Solution Overview
Problem
Complex software applications face challenges in efficiently organizing and maintaining user interface (UI) text strings due to a lack of contextual information, leading to redundancy, inconsistency, and difficulties in updating or revising these strings across multiple features and components.
Innovation Solution
The implementation of a methodology that associates UI text strings with contextual information using suitably configured database structures and file structures, allowing for unique identification and management of each string within a component-based file structure, thereby providing context for their appearance, behavior, and purpose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If UI text strings are embedded directly in software code, then implementation is straightforward, but organization and maintenance become difficult and time-consuming
Solution Approach 1:
The patent extracts UI text strings from the software code and stores them in an external database structure. This separation allows the code to reference text strings by unique identifiers rather than containing the actual text, thereby improving organization and maintenance while reducing the complexity of managing UI text throughout the codebase.
Solution Approach 2:
The patent introduces a database structure as an intermediary between the software code and UI text strings. This database acts as a mediator that stores text strings with contextual information and allows code to reference them through identifiers, resolving the contradiction between easy implementation and ease of maintenance.
2Productivity
If UI text strings are stored externally with contextual information, then maintenance and updating become efficient, but the system structure becomes more complex
Solution Approach 1:
The patent segments the UI text management system into distinct components: a database structure for storing text strings with contextual information, a file structure for organization, and code references using unique identifiers. This segmentation improves maintenance efficiency by allowing targeted updates while managing complexity through structured organization.
Solution Approach 2:
The patent adds a new dimension to UI text management by introducing a database layer between the code and text strings. This dimensional change enables efficient maintenance through centralized storage and contextual information while managing complexity through structured data organization and identifier-based references.
3Reliability
If contextual information is associated with each UI text string, then consistency and reliability improve, but the data structure becomes more complex
Solution Approach 1:
The patent creates a universal database structure that stores multiple types of contextual information (component context, feature context, translation status, etc.) in a standardized format. This multi-functional structure improves reliability by ensuring consistent information availability while managing complexity through a unified data model that can be applied across all UI text strings.
Solution Approach 2:
The patent changes the parameters of text string storage by adding contextual information fields to the database structure. This includes parameters such as component identifiers, feature identifiers, translation status, and other metadata. These parameter changes improve reliability by providing comprehensive context while managing complexity through structured data organization.
4Loss of time
If text strings are updated without contextual context, then changes are quick to make, but errors and inconsistencies increase
Solution Approach 1:
The patent performs preliminary action by storing all contextual information (component context, feature context, relationships) in the database structure before updates are needed. This pre-established context allows for quick updates through identifier references while maintaining reliability, as the contextual framework is already in place to ensure consistent changes across the system.
Data Source
AI summary
A computer-implemented database system as described herein includes a memory device and one or more processors coupled with the memory device. The one or more processors are configurable to create and maintain a folder structure for a user interface (UI) environment, wherein the folder structure includes: a feature folder that defines an application feature supported by the UI environment, the application feature having a UI component associated therewith, and the UI component having a UI text string associated therewith; a component folder located in the feature folder, the component folder having computer readable files that define the UI component; and a text string file located in the component folder, wherein the text string file defines content of the UI text string.