Towards Agile AI: Strategies for Integrating Artificial Intelligence in Software Development Lifecycles

EasyChair Preprint 12102

Abstract

The integration of Artificial Intelligence (AI) into software development lifecycles presents a paradigm shift in the industry, promising enhanced efficiency, accuracy, and innovation. This paper explores strategies for achieving agile AI integration, focusing on the seamless incorporation of AI technologies into the iterative and collaborative nature of agile software development methodologies. Key strategies include the identification of suitable AI applications for specific development phases, such as requirement analysis, design, implementation, testing, and maintenance. Leveraging AI-driven automation and augmentation tools can streamline repetitive tasks, optimize resource allocation, and improve decision-making throughout the development lifecycle.

Keyphrases: development, lifecycle, software

@booklet{EasyChair:12102,
  author    = {Kurez Oroy and Chris Liu},
  title     = {Towards Agile AI: Strategies for Integrating Artificial Intelligence in Software Development Lifecycles},
  howpublished = {EasyChair Preprint 12102},
  year      = {EasyChair, 2024}}