Extendable Data Model Framework for Low-Code Application Development
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Solution Overview
Problem
Conventional software application development is cumbersome and requires extensive time and effort, often failing to meet the unique business processes and policies of diverse customers, making it difficult to deliver customized solutions that align with individual customer needs.
Innovation Solution
An extendable data model framework that allows users to develop applications in a graphical interface without coding, enabling the creation and modification of data models, business logic, and user interfaces, with customizable data structures and workflows, facilitating customization and consistency across applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional software development methods are used, then applications can be developed with robust functionality, but the development time and complexity increase significantly
Solution Approach 1:
The system segments application development into distinct modular components: data model definition, business logic configuration, UI design, and workflow setup. Each component can be independently configured and modified, allowing parallel development and reducing overall development time while maintaining functionality through systematic integration of these segments.
Solution Approach 2:
The framework provides pre-configured templates, standard data models, and reusable business logic components that are prepared in advance. Users can leverage these pre-built elements and customize them for their specific needs, eliminating the need to build everything from scratch and significantly reducing development time while preserving application robustness.
2Loss of time
If pre-configured solutions are used, then development time is reduced, but adaptability to unique customer requirements is limited
Solution Approach 1:
The system implements dynamic configurability where data models, business rules, and UI elements can be modified at runtime without requiring application redesign. Users can adapt the system to changing customer requirements by dynamically adjusting configurations, ensuring both quick deployment with pre-configured solutions and ongoing adaptability to unique business needs.
Solution Approach 2:
The framework provides universal building blocks and standardized components that can serve multiple functions across different customer scenarios. These versatile elements can be configured and combined in various ways to address diverse customer requirements, allowing a single platform to deliver customized solutions without requiring separate development for each customer.
3Reliability
If experienced programmers develop applications, then application quality and reliability are improved, but the complexity and cost of development increase
Solution Approach 1:
The system introduces an intermediary layer consisting of visual modeling tools, drag-and-drop interfaces, and automated code generation mechanisms. This intermediary translates high-level user requirements and visual designs into robust, production-ready applications, bridging the gap between user-friendly development and professionally reliable output without requiring users to be expert programmers.
Solution Approach 2:
The framework incorporates automated quality assurance features, including validation rules, error checking, and best practice enforcement that operate automatically during the development process. The system self-corrects common errors and enforces quality standards without requiring manual intervention from expert programmers, allowing users to develop reliable applications independently while maintaining high quality standards.
Data Source
AI summary
The embodiments described in this disclosure relate to an extendable data model framework that enables users to develop applications without having to write code. The embodiments provide a user interface for users to build and maintain applications based on the framework, create custom user interfaces for the application, as well as define data objects, relationships between objects, workflows, business logic, and rules for applications the users are developing. The extendable data model framework includes an extendable data objects data structure and an extendable data object relationships data structure for users to customize data objects and relationships of the data objects for their applications using the described system. These data structures may include common data objects and relationship elements. The data structures can facilitate extension of data objects of the application as well as definition of new objects to be customized based on the business requirements of users.