Self-Assembling Software Generator for Non-Technical Users
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional code generators require extensive knowledge of software programming and are limited in generating executable code without pre-designed software structures, making them inaccessible to non-technical users and inefficient for creating adaptable, user-specific applications.
Innovation Solution
A system and method using self-assembling software machines (s-machines) that can autonomously generate executable tasks by binding and organizing into complex structures, allowing for dynamic creation of software entities and functionalities without pre-existing source code, using a task specification data structure to guide self-assembly and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional code generators are used to automatically write source code, then productivity is improved, but the system requires extensive programming knowledge and pre-designed software structures, reducing ease of operation
Solution Approach 1:
The system enables self-service through automatic software generation from natural language descriptions. The code generator automatically creates software applications without requiring users to manually design software structures or have programming knowledge, allowing non-technical users to generate functional code by simply describing their needs in natural language.
Solution Approach 2:
The patent introduces an intermediary natural language interface between the user and the code generation system. Instead of requiring users to directly interact with complex software design tools or programming languages, the system translates natural language descriptions into executable software, serving as a mediator that simplifies the interaction for non-technical users.
2Manufacturing precision
If conventional code generators translate pre-designed structures into source code, then manufacturing precision is improved, but the system lacks adaptability for user-specific applications without manual coding
Solution Approach 1:
The system implements dynamics by enabling runtime modification and adaptation of generated software. The code generator can create adaptable applications that can be customized and modified during execution based on user-specific requirements, allowing the software to evolve and adjust to different use cases without requiring complete manual redesign.
Solution Approach 2:
The patent applies universality by creating a multi-functional code generation system that can handle various types of software applications from a single natural language interface. The system is designed to generate diverse software structures and functionalities based on different user descriptions, making it versatile across multiple application domains while maintaining accurate code generation.
3Adaptability or versatility
If manual coding is used to create adaptable software, then adaptability is improved, but productivity decreases due to time-consuming manual processes
Solution Approach 1:
The system applies preliminary action by automatically generating the foundational software structure and code framework before detailed customization is needed. The code generator creates a ready-to-use software base from natural language descriptions, which can then be easily adapted and customized without starting from scratch, significantly reducing the time required for software development while maintaining adaptability.
Data Source
AI summary
A technique to generate an executable task includes inspecting a task specification data structure to determine what software entities are to be generated to create the executable task, inspecting the task specification data structure to determine how the software entities will be linked after generating the software entities, inspecting the task specification data structure to determine logic to be executed by the software entities, and generating the software entities to create the executable task.