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  Published Paper Details:

  Paper Title

AI-Driven Transformation of Epics into Granular User Stories: Advancements in Agile Project Management

  Authors

  Ullas Das

  Keywords

Agile project management, AI-driven transformation, predictive modeling, task decomposition, Agile methodologies.

  Abstract


The paper explores the role of Artificial Intelligence (AI) in changing high-level business epics to more detailed user stories in Agile project management. Integrating AI reduces the difficulties in handling complex business requirements and helps ensure they are met accurately, quickly and as needed. The paper sets out an AI-based approach for converting epics to user stories, assesses it by comparing it with other baseline models and explains how it is better than usual transformation processes. The authors integrate new ideas to explain the consequences for both professionals and policy-makers, with proposals for further studies in this area. The new model is predicted to significantly change Agile methods by producing improved results for projects, aligning the team with the company's goals and speeding up innovation with AI.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT25A6154

  Paper ID - 290201

  Page Number(s) - j946-j955

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -    https://doi.org/10.56975/ijcrt.v13i6.290201

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ullas Das,   "AI-Driven Transformation of Epics into Granular User Stories: Advancements in Agile Project Management", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.j946-j955, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A6154.pdf

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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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