The Future of Software Development: Integrating AI and Machine Learning into the SDLC
DOI:
https://doi.org/10.5281/zenodo.13756677Keywords:
Artificial Intelligence, Machine Learning, Software Development Life Cycle, AI-Driven Automation, Code Generation, Automated TestingAbstract
The integration of AI and ML into the SDLC represents a groundbreaking advancement in software engineering. This paper explores the transformative effects of AI-driven automation on key stages of the SDLC, including code generation, testing, and deployment. It also examines architectural frameworks that support the effective integration of AI technologies, such as Microservices Architecture, Event-Driven Architecture, and Hybrid Cloud Architecture. By analyzing quantitative improvements and discussing future research directions, the paper provides a comprehensive overview of how AI and ML are shaping the future of software development.
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Copyright (c) 2024 Naimil Navnit Gadani
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
