Feature-Factory: Automating Software Feature Integration Using Generative AI
Ruslan Idelfonso Magana Vsevolodovna

TL;DR
Feature-Factory uses Generative AI to automate software feature integration, streamlining analysis, planning, and implementation to reduce complexity and time in software development.
Contribution
It introduces a novel framework combining AI-driven code generation with project analysis for automated feature integration.
Findings
Successful automation of feature integration process
Reduced development time for new features
Maintained software structural integrity
Abstract
Integrating new features into existing software projects can be a complex and time-consuming process. Feature-Factory leverages Generative AI with WatsonX.ai to automate the analysis, planning, and implementation of feature requests. By combining advanced project parsing, dependency resolution, and AI-generated code, the program ensures seamless integration of features into software systems while maintaining structural integrity. This paper presents the methodology, mathematical model, and results of the Feature-Factory framework.
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Taxonomy
TopicsSoftware Engineering Research
