Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

2022

Abstract

The frequent changes in software projects may have an impact on the accuracy of the Software Enhancement Effort Estimation (SEEE) and hinder management of the software project. According to a survey on agile software estimation, the most common cost driver among effort estimation models is software size. Indeed, previous research works proved the effectiveness of the COSMIC Functional Size Measurement (FSM) method for efficiently measuring software functional size. It has been also observed that COSMIC sizing is an efficient standardized method for measuring not only software size but also the functional size of an enhancement that may occur during the scrum enhancement project. Intending to increase the SEEE accuracy the purpose of this paper is twofold. Firstly, it attempts to construct a stacking ensemble model. Secondly, it intends to develop a localhost web application to automate the SEEE process. The constructed stacking ensemble model takes the functional Size of an enhancement or a functional change, denoted as FS(FC), as a primary independent variable. The stacking ensemble model combines three Machine Learning (ML) techniques: Decision Tree Regression, Linear Support Vector Regression, and Random Forest Regression. Results show that the use of the FS(FC) as an input to SEEE using the stacking ensemble model provides significantly better results in terms of MAE (Mean Absolute Error) = 0.206, Mean Square Error (MSE) = 0.406, and Root Mean Square Error (RMSE) = 0.595.

Paper Citation

in Harvard Style

Sakhrawi Z., Sellami A. and Bouassida N. (2022). Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface. In Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-588-3, pages 91-100. DOI: 10.5220/0011321000003266

in Bibtex Style

@conference{icsoft22,
author={Zaineb Sakhrawi and Asma Sellami and Nadia Bouassida},
title={Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface},
booktitle={Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2022},
pages={91-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011321000003266},
isbn={978-989-758-588-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface
SN - 978-989-758-588-3
AU - Sakhrawi Z.
AU - Sellami A.
AU - Bouassida N.
PY - 2022
SP - 91
EP - 100
DO - 10.5220/0011321000003266