Natural Solution Language for Non-Technical Software Design
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Solution Overview
Problem
Current technology systems fail to enable non-technical users to directly participate in software solution design or modification due to the complexity and difference between programming languages and natural languages, leading to overdependence on technology experts.
Innovation Solution
The development of Natural Solution Language (NSL), which allows users to communicate with machines in a natural language-like fashion, enabling the design and deployment of computer-implemented solutions without the need for programming codes through a method that defines and treats entities and their relationships in a sensitive and innovative manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If programming languages are used for software solution design, then the precision and control of solution implementation are improved, but the complexity and difficulty of operation increase, alienating common users from direct participation
Solution Approach 1:
The patent introduces natural language as an intermediary layer between users and the computer system. Instead of users directly interacting with complex programming languages, they communicate through natural language statements of intent, which are then translated into executable code by the system. This mediator (natural language interface) preserves precision while dramatically improving ease of operation.
Solution Approach 2:
The patent segments the software development process into distinct components: natural language input, interpretation layer, and code generation layer. By separating the user interface (natural language) from the implementation layer (programming code), users can participate in solution design without needing to master the complexities of programming languages, thus improving ease of operation while maintaining implementation precision.
2Adaptability or versatility
If programming languages are used for software design, then the functionality and control of solutions are improved, but the time and effort required for users to master and participate in solution creation increase significantly
Solution Approach 1:
Natural language serves as a mediator that eliminates the time barrier. Users don't need to spend weeks or months mastering programming syntax and semantics. The system translates natural language statements of intent into functional code, providing full solution functionality without the time investment required to learn programming languages.
Solution Approach 2:
The patent replaces the mechanical system of learning and applying programming language syntax with a linguistic system based on natural language. Instead of users manually constructing code according to strict grammatical rules, they express their intent in natural language, and the system automatically generates the corresponding code structure, dramatically reducing the time required to create solutions.
3Ease of operation
If natural language is used for communication with machines, then the ease of operation and user participation are improved, but the precision and clarity of instructions to the computer may deteriorate
Solution Approach 1:
The system introduces an interpretation layer as a mediator between natural language input and code generation. This intermediary component analyzes the natural language statements of intent, disambiguates meanings, and translates them into precise programming constructs. This ensures that the ease of natural language communication does not compromise the precision required for computer execution.
Solution Approach 2:
The patent implements a dynamic translation system that adapts to the context and meaning of natural language statements. Rather than using static, rigid translation rules, the system dynamically interprets user intent and generates appropriate code structures. This dynamic approach maintains precision by adjusting the translation process based on the specific context, ensuring clear and accurate instructions to the computer while preserving natural language ease of use.
Data Source
AI summary
A computer-implemented method that effectively replaces ‘programming code’ in conveying application or solution logic to the computer using a natural language-based design. Without taking any reference to alien symbols or keywords, NSL uses standard and familiar natural-language-like constructs (any natural language, not just English) using a computer-implemented method to technically convey complex operating, application, and solution logic to the machine agents (computers) in a user-friendly way. Using the same computer-implemented methodologies, it has the power to translate or reverse engineer all existing programming code into NSL. Fundamentally, NSL requires no ‘programming code’ expertise. Users can quickly and easily convey the logic directly to the computer or recruit available solution components with ease. In addition, the elimination of artificial barriers between information and processes, and merging them, solution logic embedded in computer programs and applications is brought into the purview of information search principles.