Mitigating software maintenance project risks with stepwise regression analysis techniques

Elzamly, Abdelrafe and Hussin, Burairah (2014) Mitigating software maintenance project risks with stepwise regression analysis techniques. Journal of Modern Mathematics Frontier, 3 (2). pp. 34-44. ISSN 2227-3743

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Abstract

The aim of this paper is to present new statistical techniques –namely, the stepwise multiple regression analysis techniques and Durbin Watson techniques to reduce software maintenance risks in a software projects. However, these statistical measures would be performed using stepwise multiple regression analysis and Durbin Watson statistic techniques to compare the risk management techniques to each of the software maintenance risk factors to identify if they are effective in reducing the occurrence of each software maintenance risk factor and selecting the best model. Also ten top software maintenance risk factors were mitigated by using risk management techniques in Table 24. The study has been conducted on a group of software project managers. The success of software project risk management will greatly improve the probability of software project success.

Item Type:	Article
Uncontrolled Keywords:	Software project risk management, Software maintenance risk factors, Risk management techniques, Stepwise regression analysis techniques, Durbin-watson statistic technique
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	20 Sep 2017 08:39
Last Modified:	07 Jul 2023 16:06
URI:	http://eprints.utem.edu.my/id/eprint/19224
Statistic Details:	View Download Statistic

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