Research Article
A New Method to Improve Quality Predicting of Software Project Completion Level
@INPROCEEDINGS{10.1007/978-3-030-77424-0_17, author={The-Anh Le and Quyet-Thang Huynh and Thanh-Hung Nguyen}, title={A New Method to Improve Quality Predicting of Software Project Completion Level}, proceedings={Industrial Networks and Intelligent Systems. 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings}, proceedings_a={INISCOM}, year={2021}, month={5}, keywords={Project management EVM Growth models Gompertz}, doi={10.1007/978-3-030-77424-0_17} }- The-Anh Le
Quyet-Thang Huynh
Thanh-Hung Nguyen
Year: 2021
A New Method to Improve Quality Predicting of Software Project Completion Level
INISCOM
Springer
DOI: 10.1007/978-3-030-77424-0_17
Abstract
Earned Value Management (EVM) is a powerful tool for estimating costs and evaluating a software project. Many methods have been used to improve the effectiveness of EVM in evaluating a software project, in which the method of applying the Gompertz growth model (GGM) is one of the effective directions. The paper studies the method of combining the Gompertz growth model and the earned value management method (GGM-EVM) to predict the cost to complete the software project. The team experimented with modeling a number of software project data sets in practice, running and testing and analyzing the results. Several improvements have been proposed to increase the effectiveness of the GGM-EVM method, resulting in relatively positive research results.
