Visual Programming Platform for ML-Generated Code Pipelines
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional text-based programming requires high expertise, is time-consuming, error-prone, and lacks intuitiveness in representing software logic and data flow, making it challenging for complex software development.
Innovation Solution
A visual programming platform leveraging machine learning-based coding systems to generate pseudocode from natural language descriptions, enabling graphical editing and real-time feedback for software development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If text-based programming is used, then software development can be performed with precise control, but it requires high expertise and is time-consuming
Solution Approach 1:
The patent introduces an intermediary system consisting of natural language processing models and code generation algorithms that translate human-readable text into executable code. This intermediary layer eliminates the need for developers to directly write complex programming syntax, thereby reducing time consumption while maintaining code quality through automated generation and validation processes.
Solution Approach 2:
The system enables self-service code generation where the programming environment automatically generates, validates, and optimizes code based on user specifications. The automated code generation system performs self-validation and error detection, reducing the time developers would otherwise spend on manual coding and debugging while maintaining high precision through systematic validation processes.
2Manufacturing precision
If text-based programming is used, then code can be executed with precise control, but it lacks intuitiveness in representing software logic and data flow
Solution Approach 1:
The patent transforms the traditional one-dimensional text-based code representation into a multi-dimensional visualization system that displays software logic, data flow, and program structure simultaneously. This dimensional transformation allows users to comprehend complex software architecture intuitively while maintaining precise execution control through the underlying text-based programming foundation.
3Ease of operation
If visual programming platforms are used, then code can be manipulated graphically for better intuitiveness, but they lack flexibility and comprehensive feature set for complex software applications
Solution Approach 1:
The patent merges the advantages of visual programming platforms with traditional text-based programming environments. The system combines graphical user interface elements for intuitive code manipulation with the full flexibility and comprehensive feature set of text-based programming languages, allowing users to benefit from both visual intuitiveness and programming power in a unified environment.
Data Source
AI summary
A visual programming platform can leverage a machine learning-based coding system to generate an initial set of programming-language code for further graphical editing by a human user. As an example, the visual programming platform can obtain a natural language description of a task to be performed by a computational pipeline. The visual programming platform can process the natural language description of the task with a machine learning coding system that includes one or more machine-learned models to generate, as an output of the machine learning coding system, a set of pseudocode that describes performance of the task. The platform can process the set of pseudocode that describes performance of the task with a compiler to generate a set of programming-language code that defines the computational pipeline for performing the task. The visual programming platform can generate a graphical visualization of the computational pipeline defined by the set of programming-language code.