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International Journal of Engineering Business Management, Vol. 1 No. 2, 2009.

Original scientific paper

Fuzzy Multiple Regression Model for Estimating Software Development Time

Venus Marza ; MSc student of Computer Engineering at Islamic Azad University of South Tehran Branch
Mir Ali Seyyedi ; Assistant Professor at the department of Computer Engineering, Islamic Azad University of South Tehran Branch

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Abstract

As software becomes more complex and its scope dramatically increase, the importance of research on developing methods for estimating software development time has perpetually increased, so accurate estimation is the main goal of software managers for reducing risks of projects. The purpose of this article is to introduce a new Fuzzy Multiple Regression approach, which has the higher accurate than other methods for estimating. Furthermore, we compare Fuzzy Multiple Regression model with Fuzzy Logic model & Multiple Regression model based on their accuracy.

Keywords

Fuzzy Logic (FL); Multiple Regression Model; McCabe Complexity; Dhama Coupling; Development Time

Hrčak ID:

66730

URI

https://hrcak.srce.hr/66730

Publication date:

15.9.2009.

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