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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

Puni tekst: engleski, pdf (699 KB) str. 31-34 preuzimanja: 1.295* citiraj
APA 6th Edition
Marza, V. i Seyyedi, M.A. (2009). Fuzzy Multiple Regression Model for Estimating Software Development Time. International Journal of Engineering Business Management, 1 (2), 31-34. Preuzeto s https://hrcak.srce.hr/66730
MLA 8th Edition
Marza, Venus i Mir Ali Seyyedi. "Fuzzy Multiple Regression Model for Estimating Software Development Time." International Journal of Engineering Business Management, vol. 1, br. 2, 2009, str. 31-34. https://hrcak.srce.hr/66730. Citirano 17.06.2021.
Chicago 17th Edition
Marza, Venus i Mir Ali Seyyedi. "Fuzzy Multiple Regression Model for Estimating Software Development Time." International Journal of Engineering Business Management 1, br. 2 (2009): 31-34. https://hrcak.srce.hr/66730
Harvard
Marza, V., i Seyyedi, M.A. (2009). 'Fuzzy Multiple Regression Model for Estimating Software Development Time', International Journal of Engineering Business Management, 1(2), str. 31-34. Preuzeto s: https://hrcak.srce.hr/66730 (Datum pristupa: 17.06.2021.)
Vancouver
Marza V, Seyyedi MA. Fuzzy Multiple Regression Model for Estimating Software Development Time. International Journal of Engineering Business Management [Internet]. 2009 [pristupljeno 17.06.2021.];1(2):31-34. Dostupno na: https://hrcak.srce.hr/66730
IEEE
V. Marza i M.A. Seyyedi, "Fuzzy Multiple Regression Model for Estimating Software Development Time", International Journal of Engineering Business Management, vol.1, br. 2, str. 31-34, 2009. [Online]. Dostupno na: https://hrcak.srce.hr/66730. [Citirano: 17.06.2021.]

Sažetak
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.

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

Hrčak ID: 66730

URI
https://hrcak.srce.hr/66730

Posjeta: 1.552 *