Graphical Development Environment for Natural Language Code Generation
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Solution Overview
Problem
Existing software development processes require extensive programming expertise, making it difficult for businesses to develop enterprise applications without hiring skilled professionals, which is costly and hard to find.
Innovation Solution
A graphical user interface-based application development environment that employs a metadata database, web service, and natural language artificial intelligence interface to allow non-expert users to design and develop applications through intuitive point-and-click tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional software development methods are used, then software applications can be developed with high functionality and reliability, but extensive programming expertise is required and development costs are high
Solution Approach 1:
The patent introduces a natural language interface as an intermediary between the user and the software development system. Users can interact with the system using natural language commands instead of programming languages, while the system translates these commands into appropriate software development operations, thus eliminating the need for programming expertise while maintaining development capability
Solution Approach 2:
The patent replaces the mechanical system of programming language syntax and semantics with a natural language processing system. Instead of requiring users to learn and apply programming rules, the system uses AI-based natural language understanding to interpret user intent and generate software accordingly, substituting complex mechanical programming operations with intelligent language processing
2Productivity
If skilled programmers are hired to develop software applications, then high-quality software can be produced, but recruitment is difficult and salaries are extremely high
Solution Approach 1:
The patent enables businesses to develop software applications themselves without external programming expertise. The system provides self-service capabilities where users can define data elements, relationships, and business logic through natural language interactions, allowing organizations to become their own software development team and eliminate dependency on expensive external programmers
Solution Approach 2:
The patent creates a universal development platform that can handle various software development tasks through a single natural language interface. The system can generate different types of software applications, data models, and business logic using the same interface paradigm, making the development capability universally accessible regardless of the specific software needs
3Adaptability or versatility
If extensive programming knowledge is required for software development, then sophisticated business processes can be automated, but the development time increases significantly
Solution Approach 1:
The patent implements preliminary action by pre-defining data element structures, relationships, and processing patterns within the system. When users make natural language requests, the system can quickly assemble software solutions using these pre-prepared components, eliminating the time-consuming process of building everything from scratch and enabling rapid development of sophisticated business processes
Data Source
AI summary
Data structures and applications are defined with an application development environment which employs the use of a natural language artificial intelligence interface and recorded metadata descriptions, which are converted at runtime to generate underlying software code (e.g., C#, SQL, JavaScript, etc.) to implement the application. The data structures include application data elements described in a data serialization format. Each application data element includes fields that each represent an individual value. Each field is defined with a label, a data type, and attributes. The data structures also describe relationships or links between application data elements, as well as data-driven or time-based rules that drive further data manipulation and interactions within and external to the programming development environment through a variety of interfaces (e.g., HTTP, SMTP, SMS).