Leveraging AI for Agile Backlog Management Using LLMs: A Comprehensive Approach

Khan, Najam Ul Hassan (2024) Leveraging AI for Agile Backlog Management Using LLMs: A Comprehensive Approach. Masters thesis, Dublin, National College of Ireland.

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Abstract

Agile project management is mostly preferred due to its flexibility, rapid advancement, and ability to align with stakeholders. Methodologies such as Scrum, Kanban, Lean, Extreme Programming (XP), and Adaptive Project Framework (APF) facilitate the process of incremental improvement. Nevertheless, the task of overseeing the product backlog, which is a constantly changing inventory of innovations, bug fixes, and enhancements, can require a significant amount of effort. LLMs like Llama, T5, ChatGPT, Mistral, and Gemini have emerged as promising tools for automating task management and improving productivity. The study aims to assess the usage of a multi-pipeline of LLMs in handling backlogs, namely by improving productivity and controlling timeframes. The results will aid in enhancing agile processes and incorporating AI into project management.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Anand, Devanshu UNSPECIFIED
Uncontrolled Keywords:	Agile; Back Log management; LLMs; Similarity Scores; Latent Similarity
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Ciara O'Brien
Date Deposited:	02 Jul 2025 14:49
Last Modified:	02 Jul 2025 14:49
URI:	https://norma.ncirl.ie/id/eprint/7989

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