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. In: 2014 International Conference on Management and Engineering (CME 2014).

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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: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dr. Abdelrafe Elzamly
Date Deposited: 25 Mar 2018 16:52
Last Modified: 25 Mar 2018 16:52
URI: http://scholar.alaqsa.edu.ps/id/eprint/442

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