Template-Based Application Generation with Automated Data Binding
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Solution Overview
Problem
The process of adding code to provide application data access at runtime in Integrated Developer Environments (IDEs) often requires developer skills and limits user control over storage locations, making it inefficient and error-prone.
Innovation Solution
A system and method for automatically generating an application using a template within a developer environment, allowing designers to control data storage locations and access permissions without writing code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If developers manually add code to provide application data access at runtime in IDEs, then application functionality is achieved, but developer expertise is required and control over storage locations is limited
Solution Approach 1:
The system performs preliminary actions by automatically generating the code necessary for application data access at runtime before the developer needs to use it. The template-based approach pre-configures storage location bindings, data access methods, and runtime behavior, eliminating the need for developers to manually write complex access code and giving them control over storage locations through template selection rather than code configuration.
2Productivity
If developers manually write code for application data access, then custom functionality is achieved, but errors increase and efficiency decreases
Solution Approach 1:
The system uses templates as reusable copies of proven code patterns and structures for application data access. Instead of developers writing code from scratch (which introduces errors), they select from pre-validated template options that have been designed and tested for correctness. The template-based generation replicates reliable access patterns automatically, reducing errors while maintaining productivity.
3Adaptability or versatility
If storage locations are dictated by the developer environment, then system control is maintained, but user control over data storage is limited
Solution Approach 1:
The system dynamically adapts to user choices regarding storage locations. Rather than forcing a fixed storage structure, the template-based approach allows users to select from multiple storage location options (different cloud providers, regions, or configurations) and the system automatically generates the appropriate access code for each choice. This dynamic adaptation provides user control without requiring users to manage the underlying storage complexity manually.
Data Source
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AI summary
Examples of the disclosure provide for receiving a template at a design surface, the template representing a visual layout, logic, and data schema for an application. Received source data is bound to the template based on the data schema. At least one data storage location is selected from identified data storage locations. Based on the selection of the one data storage location, at least a portion of the source data is extracted and sent to the data storage location for storage. The extracted data is rewired to bind the extracted data at the data storage location to the template such that access of the application generated using the template provides access to the extracted data at the data storage location.