Digital Component Generation via Data Structure Conversion
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Solution Overview
Problem
Current computer program development processes are lengthy, complex, and resource-intensive, prone to errors, and require additional coding support, especially for complex applications, which can lead to catastrophic errors and burdens on computational devices due to the need for supplementary software.
Innovation Solution
A method and apparatus for generating digital components by receiving design inputs into predefined data structures, analyzing and converting them into code identifiers, and translating into desired programming languages, allowing for the creation of digital components that can control devices without the need for extensive coding skills, enabling faster, more error-resistant, and scalable development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual coding methods are used to develop computer programs, then developers can create functional software, but the development process becomes lengthy, complex, and resource-intensive
Solution Approach 1:
The patent introduces an intermediary system comprising a parser, code generator, and compiler that automatically translates natural language inputs into executable code. This intermediary eliminates the need for manual coding while maintaining program development functionality, thereby increasing productivity and reducing development time
Solution Approach 2:
The patent replaces the mechanical process of manual coding with an automated natural language processing system. The system uses linguistic analysis and code generation algorithms to automatically produce functional programs from natural language descriptions, substituting human manual labor with automated computational processes
2Reliability
If developers manually write code to create computer programs, then programs can be created, but errors are easily introduced that can have catastrophic effects
Solution Approach 1:
The system performs self-verification through automated parsing, validation, and code generation. The parser automatically analyzes the natural language input for consistency and logical correctness, and the code generator produces syntactically correct code, eliminating human-induced errors while maintaining program reliability
Solution Approach 2:
The system incorporates feedback mechanisms where the parser validates input against predefined grammatical and logical rules, and the compiler verifies generated code before execution. This multi-layer feedback system detects and corrects errors automatically, preventing catastrophic failures
3Adaptability or versatility
If supplementary software is created to run alongside the main program for support functions, then additional functionality is provided, but computational devices are burdened with unnecessary storage and processing requirements
Solution Approach 1:
The patent creates a universal compiler system that can generate code for multiple programming languages and platforms from a single natural language input. This multi-functional system eliminates the need for separate supplementary software for different languages, reducing device complexity while maintaining versatility
Solution Approach 2:
The patent merges the parsing, code generation, and compilation functions into a single integrated system. By combining these previously separate functions into one unified process, the system reduces the need for multiple separate software components, thereby reducing storage and processing requirements
Data Source
AI summary
A computer-implemented method for generating a digital component including a set of executable instructions is provided. The method including a user interface receiving design inputs into predefined data structures including an experience entity associated with an interface of the digital component, an information entity associated with a database of the digital component, and a knowledge entity for generating an output of the digital component, analyzing the data structures and their inputs and converting them into code identifiers, receiving at least one digital component configuration input and generating a digital component based on the code identifiers and the digital component configuration input.


