AI in Software Development: Enhancing Efficiency with Intelligent Automation

Authors

  • Santosh Panendra Bandaru   Independent Researcher, USA

Keywords:

Artificial Intelligence, Software Development, Intelligent Automation, Machine Learning, DevOps, NLP, AI in SDLC

Abstract

The integration of Artificial Intelligence (AI) into software development has transformed traditional methodologies, making development cycles more efficient and reducing manual intervention. AI-driven tools and techniques enhance various stages of the Software Development Lifecycle (SDLC), from requirement analysis to deployment and maintenance. This paper explores the role of AI in automating software engineering tasks, discusses the impact of intelligent automation on efficiency, and presents real-world applications and future research directions.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-03-17

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Santosh Panendra Bandaru "AI in Software Development: Enhancing Efficiency with Intelligent Automation" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.517-532, March-April-2022.