Multilayer Instruction Generation for Custom Data Queries
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Solution Overview
Problem
Most users lack the specialized knowledge and skills to develop custom computer programs for organizational data management, leading to resource drain and increased expenses, as they are restricted to pre-existing applications.
Innovation Solution
A computer system with an organizational management platform that allows users to input queries in a custom computer language, translating and processing them into different languages to manage organizational data, enabling automated data processing routines and generating instructions across various applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users attempt to develop custom computer programs for organizational data management, then functionality and customization are improved, but resource consumption and development costs increase
Solution Approach 1:
The patent introduces an automated code generation system that acts as an intermediary between user intent and system implementation. Users provide natural language or high-level specifications, and the system automatically generates, compiles, and deploys custom software applications, eliminating the need for users to manually develop code while reducing resource consumption.
Solution Approach 2:
The system enables self-service by allowing users to automatically generate and deploy custom applications through automated routines. The system performs code generation, compilation, and deployment autonomously based on user specifications, reducing the need for specialized programming knowledge and minimizing human resource investment.
2Ease of operation
If users lack specialized programming knowledge, then ease of operation is improved, but functionality and customization capabilities deteriorate
Solution Approach 1:
The automated code generation system serves as an intermediary that translates user-friendly specifications into complex programming code. Users interact through natural language or simplified interfaces without needing to understand underlying programming concepts, while the system handles the complexity of code generation and compilation.
Solution Approach 2:
The patent replaces the mechanical process of manual code writing and compilation with an automated system. Instead of users directly manipulating code and understanding compilation processes, the system automatically performs these tasks through automated routines that generate and compile code based on user specifications.
3Productivity
If custom programs are developed and maintained, then organizational data management capabilities are improved, but maintenance costs and complexity increase
Solution Approach 1:
The system implements self-service through automated routines that handle code generation, compilation, and deployment. The automated system maintains the generated code and can regenerate applications as needed, eliminating the need for manual maintenance and reducing operational complexity.
Solution Approach 2:
The system performs preliminary actions by automatically generating and compiling code before deployment. This upfront automation of code generation and compilation processes eliminates the need for subsequent manual maintenance, updates, and modifications, reducing long-term complexity.
Data Source
AI summary
Systems, devices, computer-implemented methods, and tangible non-transitory computer readable media for performing multilayered generation and processing of computer instructions are provided. For example, a computing device may receive a request with instructions in a first computer language, parse the instructions in the first computer language, analyze the instructions in the first computer language in view of information describing structure of a first application, generate instructions in a second computer language different from the first computer language where the instructions in the second computer language are generated based on the instructions in the first computer language and the information describing structure of the first application, obtain a result from a second application where the result comprises information based on the instructions in the second computing language, and provide the result in response to the request comprising the instructions in the first computer language.