A Comparison of Fuzzy and Stepwise Multiple Regression Analysis Techniques for Managing Software Project Risks: Implementation Phase

Elzamly, Abdelrafe and Hussin, Burairah (2014) A Comparison of Fuzzy and Stepwise Multiple Regression Analysis Techniques for Managing Software Project Risks: Implementation Phase. International Management Review, 10 (1). pp. 43-54. ISSN 1551-6849

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Abstract

This paper aims to present new techniques to determine if fuzzy and stepwise regression are effective in mitigating the occurrence software risk factor in the implementation phase. The proposed process compares the accuracy of prediction between stepwise multiple regression analysis techniques and fuzzy multiple regression. In addition, After applying MRE, the results show that the most value of MMRE in fuzzy multiple regression modelling for risks were slightly higher than the value of MMRE in stepwise multiple regression except risk 1 models around about fuzzy regression. Therefore, the most value of Pred (25) fuzzy multiple regression model for risks were slightly higher than or equal the value of pride (25) stepwise multiple regression except 9 were slightly higher than stepwise. The model’s accuracy slightly improves in fuzzy multiple regression than stepwise multiple regression. Successful application of software project risk management will greatly improve the probability of project success.

Item Type: Article
Subjects: T Technology > T Technology (General)
Depositing User: Dr. Abdelrafe Elzamly
Date Deposited: 25 Mar 2018 16:48
Last Modified: 25 Mar 2018 16:48
URI: http://scholar.alaqsa.edu.ps/id/eprint/433

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