2024/11/27 by Vsevolodovna, Ruslan Idelfonso Magana
#68N01 #68N30 #68Q25 #68T05 #Artificial Intelligence (cs.AI) #D.2.3 #D.2.7 #D.2.9 #FOS: Computer and information sciences #I.2.2 #I.2.7 #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Software Engineering (cs.SE)
paper · doi:10.48550/arxiv.2411.18226
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.