A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation

Hela Hakim, Asma Sellami, Hanêne Ben-Abdallah

2024

Abstract

In Scrum-based projects, precise assessments of requirement changes are crucial for effective management. A Decision Support System (DSS) can streamline managing these changes, improve collaboration, and enhance decision-making. This paper proposes a Measure-Driven Decision Support System (MD-DSS) for managing requirement changes at both functional and structural levels, using COSMIC FSM (ISO 19761) and an extended Structural Size Measurement method. The MD-DSS benefits all Scrum stakeholders, including Product Owners, Scrum Masters, Development Teams, and managers. Its performance was evaluated quantitatively and qualitatively across 15 software development projects.

Paper Citation

in Harvard Style

Hakim H., Sellami A. and Ben-Abdallah H. (2024). A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 161-168. DOI: 10.5220/0012807700003753

in Bibtex Style

@conference{icsoft24,
author={Hela Hakim and Asma Sellami and Hanêne Ben-Abdallah},
title={A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012807700003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - A Measures-Driven Decision Support System for Managing Requirement Change in Scrum: An Empirical Evaluation
SN - 978-989-758-706-1
AU - Hakim H.
AU - Sellami A.
AU - Ben-Abdallah H.
PY - 2024
SP - 161
EP - 168
DO - 10.5220/0012807700003753
PB - SciTePress