AI in Software Development: Enhancing Efficiency with Intelligent Automation

International Journal of Scientific Research in Science, Engineering and Technology 9 (2) (2022)
  Copy   BIBTEX

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

Analytics

Added to PP
2025-05-09

Downloads
27 (#108,490)

6 months
27 (#106,500)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?