AI Software Prototype Generation for Development Cost Reduction
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Solution Overview
Problem
Software application development is time-consuming and costly due to the complexity of designing applications that work with multiple hardware configurations and require configuration to connect with online servers, even for experienced developers.
Innovation Solution
A system and method that uses AI to streamline software development by generating application prototypes based on customer inputs during conversations, estimating linkages between features, and recommending launch screens, thereby simplifying the development process and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional software development methods are used to ensure compatibility with multiple hardware configurations and server connections, then reliability is improved, but development time increases
Solution Approach 1:
The patent applies preliminary action by using AI to generate application prototypes, feature linkages, and launch screen recommendations before actual development begins. This pre-computation of development artifacts reduces the time required during the actual development phase while maintaining reliability through systematic analysis of hardware configurations and server connection requirements.
Solution Approach 2:
The patent replaces manual mechanical development processes with AI-based automated systems. Instead of developers manually testing and configuring software for multiple hardware configurations, an AI system automatically analyzes requirements, generates prototypes, and determines feature linkages, substituting human effort with intelligent automation that maintains reliability while reducing time.
2Manufacturing precision
If traditional software development methods are used to ensure proper configuration and testing, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
The patent replaces manual development processes with AI-based automation that maintains precision through systematic analysis. The AI system accurately determines feature linkages, generates appropriate prototypes, and recommends optimal launch screens, preserving development accuracy while significantly increasing productivity through automated parallel processing.
Solution Approach 2:
The patent changes the parameters of the development process by using AI to analyze and determine optimal configurations automatically. Instead of relying on developer expertise and manual tuning, the system uses AI algorithms to optimize feature linkages and generate configurations, maintaining precision through computational analysis while improving productivity through automation.
3Productivity
If AI automation is used to generate prototypes and recommendations, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent uses AI systems as intermediaries between development requirements and actual implementation. The AI acts as a mediator that automatically handles the complexity of analyzing hardware configurations, determining feature linkages, and generating prototypes, thereby improving productivity while shielding developers from the underlying system complexity through user-friendly interfaces.
Data Source
AI summary
Aspects of the present disclosure involve a computer system and method for determining a cost for developing features of a software application. The system and method receive, from a user, a description of one or more features of the software application via a chat module; determine whether the one or more features are custom features; and determine, in a case the one or more features are determined to be custom features, a cost to develop the one or more features.