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Título del libro: Proceedings - 2024 12th International Conference In Software Engineering Research And Innovation, Conisoft 2024
Título del capítulo: Transforming Software Development: A Study on the Integration of Multi-Agent Systems and Large Language Models for Automatic Code Generation

Autores UNAM:
ISMAEL EVERARDO BARCENAS PATIÃ?O;
Autores externos:

Idioma:

Año de publicación:
2024
Palabras clave:

Automatic programming; Intelligent agents; Software quality; Automatic code generations; Case-studies; Codegeneration; Generative AI; Language model; Large language model; Manual coding; Multi agent; Multiagent systems (MASs); Software development process; Software design


Resumen:

This paper explores the integration of Multi-Agent Systems (MAS) and Large Language Models (LLMs) for auto-matic code generation, addressing the limitations of traditional manual coding. By conducting a comprehensive review of existing literature and analyzing a practical case study, we demonstrate how MAS and LLMs can collaboratively enhance software development processes. The research focuses on the technical and theoretical challenges of this integration, highlighting the potential for improved productivity, adaptability, and quality in code generation. The findings contribute to AI-based software engineering by revealing new research directions in collective intelligence and automated programming. © 2024 IEEE.


Entidades citadas de la UNAM: