Visual Programming Application for Natural Language Software Updates

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Solution Overview

Problem

Software development is inefficient due to gaps in communication between specialized roles, leading to inferior software delivery, as current technologies fail to automate the process effectively.

Innovation Solution

A method and system for automatically updating software functionality using natural language input, which involves providing a visual programming application to interpret user specifications, generate associated functionality, and integrate hooks into software modules to update their functionality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multiple specialized roles work together to develop software through communication artifacts, then software can be developed with diverse expertise, but communication gaps lead to inefficiency and inferior delivery

Engineering Contradiction:

Improvesoftware delivery efficiencyVSAvoidcommunication gaps between roles

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent introduces an AI-powered natural language processing intermediary that automatically translates and transforms requirements from business analysts into technical specifications for developers, and test cases for QA engineers, eliminating communication gaps and information loss between specialized roles

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables automated self-service by using machine learning models to automatically generate code, test cases, and documentation from natural language requirements, reducing manual communication and coordination overhead between human specialists

Inventive Principle:

Principle #25Self-service

2Productivity

If humans play the role of specification creators and machines play specialized roles, then the process becomes more efficient, but automation capability is currently insufficient

Engineering Contradiction:

Improvesoftware development efficiencyVSAvoidautomation of specialized roles

Core Design Contradiction:

ProductivityVSExtent of automation

Solution Approach 1:

The patent replaces the mechanical system of human-to-human communication and manual task execution with an AI-based natural language processing system that automatically performs analysis, code generation, and testing tasks previously requiring specialized human roles

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system changes the parameter of automation extent by implementing machine learning models with varying degrees of autonomy, allowing specifications to be automatically generated from natural language input while maintaining human oversight for complex decisions

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11249751B2Methods and systems for automatically updating software functionality based on natural language input

Publication Date: 2022.02.15 PAANINI INC

AI summary

In one aspect, a method for automatically updating software functionality based on natural language input includes the step of providing a visual programming application; based on either a conversational specification input from the user or based on a fully functional specification document detailing the functional requirements, uploaded as input. The user conversation input comprises a natural language input, whereas the functional specification document is written in natural language detailing the scope and goal of the requirement The method includes the step of interpreting the user specification input to determine an associated functionality goal. The method includes the step of generating a functionality associated with the functionality goal. The method includes the step of integrating the functionality into an application development process.