Identifying and managing software project risks with proposed fuzzy regression analysis techniques : Maintenance phase

Elzamly, Abdelrafe and Hussin, Burairah (2014) Identifying and managing software project risks with proposed fuzzy regression analysis techniques : Maintenance phase. 2014 Conference On Management And Engineering (CME 2014), - (-). pp. 1-12. ISSN -

Text Elzamly, Hussin - 2014 - Identifying and Managing Software Project Risks with Proposed Fuzzy Regression Analysis Techniques Maintenance.pdf Restricted to Registered users only Download (151kB)

Abstract

Many software projects have a very high failure rate in spite of much effort has been put for its succession. Risk is not always avoidable, but it is controllable on software development projects. The aim of this paper is to present a new mining technique that introduced the fuzzy multiple regression analysis to manage the risks in a software development project in the maintenance phase. The results show that all risks in software projects were significant in software project manager's perspective. This paper, we used fuzzy multiple regression analysis techniques to compare the risk management techniques to each of the software risk factors to determine if they are effective in mitigating the occurrence of each software risk factor in maintenance phase. The study has been conducted on a group of software project managers, which the top ten software risk factors in the maintenance phase and thirty risk management techniques were presented to the respondents. As the result, this output gives greatly improve of probability of software project success.

Item Type:	Article
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 16:01
URI:	http://eprints.utem.edu.my/id/eprint/19223
Statistic Details:	View Download Statistic

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