Integrating AI/ML into Agile Development

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into Agile development practices presents both opportunities and challenges.This paper explores how AI/ML can enhance Agile development, providing insights into the benefits, potential pitfalls, and best practices.Through a review of current literature and case studies, the paper identifies key strategies for successful integration.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-08-05
DOI
https://doi.org/10.21275/sr24807035739
Citations
2
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
1.56
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article

Integrating AI/ML into Agile Development

Sai Vaibhav Medavarapu
2 citations
International Journal of Science and Research (IJSR)
Software Engineering Techniques and Practices
1.56
article

Integrating AI/ML into Agile Development

Sai Vaibhav Medavarapu
article en
2 citations

Abstract

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into Agile development practices presents both opportunities and challenges.This paper explores how AI/ML can enhance Agile development, providing insights into the benefits, potential pitfalls, and best practices.Through a review of current literature and case studies, the paper identifies key strategies for successful integration.

International Journal of Science and Research (IJSR)Vol. 13(8)
Openalex Percentile: Top 13%
Software Engineering Techniques and Practices
1.56
DOIOpen Access PDFOpenAlex
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Integrating AI/ML into Agile Development — Sai Vaibhav Medavarapu · International Journal of Science and Research (IJSR) (2024) | TGRS Research Map | TGRS