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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

Fulltext: english, pdf (699 KB) pages 31-34 downloads: 1.300* cite
APA 6th Edition
Marza, V. & Seyyedi, M.A. (2009). Fuzzy Multiple Regression Model for Estimating Software Development Time. International Journal of Engineering Business Management, 1 (2), 31-34. Retrieved from https://hrcak.srce.hr/66730
MLA 8th Edition
Marza, Venus and Mir Ali Seyyedi. "Fuzzy Multiple Regression Model for Estimating Software Development Time." International Journal of Engineering Business Management, vol. 1, no. 2, 2009, pp. 31-34. https://hrcak.srce.hr/66730. Accessed 25 Jul. 2021.
Chicago 17th Edition
Marza, Venus and Mir Ali Seyyedi. "Fuzzy Multiple Regression Model for Estimating Software Development Time." International Journal of Engineering Business Management 1, no. 2 (2009): 31-34. https://hrcak.srce.hr/66730
Harvard
Marza, V., and Seyyedi, M.A. (2009). 'Fuzzy Multiple Regression Model for Estimating Software Development Time', International Journal of Engineering Business Management, 1(2), pp. 31-34. Available at: https://hrcak.srce.hr/66730 (Accessed 25 July 2021)
Vancouver
Marza V, Seyyedi MA. Fuzzy Multiple Regression Model for Estimating Software Development Time. International Journal of Engineering Business Management [Internet]. 2009 [cited 2021 July 25];1(2):31-34. Available from: https://hrcak.srce.hr/66730
IEEE
V. Marza and M.A. Seyyedi, "Fuzzy Multiple Regression Model for Estimating Software Development Time", International Journal of Engineering Business Management, vol.1, no. 2, pp. 31-34, 2009. [Online]. Available: https://hrcak.srce.hr/66730. [Accessed: 25 July 2021]

Abstracts
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

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