@inproceedings{d2066f4eeaf54ff581274f4a885b2710,
title = "ENHANCING END-TO-END USER STORY CREATION WITH OPEN-SOURCE LARGE LANGUAGE MODELS: A GUIDED CHAIN-OF-THOUGHT METHOD",
abstract = "This paper presents the results from a study aimed at enhancing agile project management through the automated creation and integration of user stories using open-source large language models (LLMs) with a proposed Guided Chain-of-Thought prompting framework. The study evaluates the effectiveness of this approach in reducing manual workload and improving user satisfaction. Findings demonstrate significant efficiency gains and positive user feedback, indicating the potential for broad adoption in real-world agile environments.",
keywords = "LLM, Prompt Engineering, User Story Automation",
author = "Andrius Dalisanskis and Enda Fallon",
note = "Publisher Copyright: {\textcopyright} 2024 Proceedings of the International Conferences on Applied Computing and WWW/Internet 2024. All rights reserved.; 21st International Conference on Applied Computing 2024, AC 2024 and 23rd International Conference on WWW/Internet 2024, ICWI 2024 ; Conference date: 26-10-2024 Through 28-10-2024",
year = "2024",
language = "English",
series = "Proceedings of the International Conferences on Applied Computing and WWW/Internet 2024",
publisher = "IADIS Press",
pages = "143--150",
editor = "Paula Miranda and Pedro Isaias and Pedro Isaias and Luis Rodrigues",
booktitle = "Proceedings of the International Conferences on Applied Computing and WWW/Internet 2024",
}