ESTIMATING STEPWISE AND FUZZY REGRESSION ANALYSIS FOR MODELLING SOFTWARE DESIGN PROJECT RISKS

Elzamly, Abdelrafe and Hussin, Burairah (2015) ESTIMATING STEPWISE AND FUZZY REGRESSION ANALYSIS FOR MODELLING SOFTWARE DESIGN PROJECT RISKS. Asian Journal of Mathematics and Computer Research, 4 (3). pp. 234-241. ISSN 2395-4205

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Official URL: http://www.ikpress.org/journal/44

Abstract

Software projects are normally associated with failure risk. This risk is not avoidable in a software design project, but it can be mitigated and controlled with various approaches. Taking into consideration, the software managers and IT managers depend on their experience and judgment to mitigate software project design risks in the previous studies. However, the software risk factors usually a common in a software design project and the experience among project managers is also varies, thus one need to think other approach to mitigate software design risks. This study aimed to test the level of prediction between two model scenarios namely- stepwise and fuzzy multiple regression analysis by using MMRE and Pred (l). The results show that, there is a significant relationship between them and possibly can be used to mitigate software project design risks. All models in software design process were acceptable value for MMRE and Pred (0.25) except model 3.

Item Type: Article
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 16:57
Last Modified: 25 Mar 2018 16:57
URI: http://scholar.alaqsa.edu.ps/id/eprint/447

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