Fuzzy Multiple Regression Model for Estimating Software Development Time | Zendy

Venus Marza | Zendy; Mir Ali Seyyedi | Zendy

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Fuzzy Multiple Regression Model for Estimating Software Development Time

Author(s) -

Venus Marza,

Mir Ali Seyyedi

Publication year - 2009

Publication title -

international journal of engineering business management

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.352

H-Index - 22

ISSN - 1847-9790

DOI - 10.5772/6775

Subject(s) - fuzzy logic , computer science , regression analysis , software , scope (computer science) , data mining , regression , machine learning , statistics , artificial intelligence , mathematics , programming language

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.

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