This paper is published in Volume-4, Issue-2, 2018
Area
Software Engineer
Author
Nishi
Co-authors
Vikas Malik
Org/Univ
Bhagat Phool Singh Mahila Vishwavidyalaya, Sonepat, Haryana, India
Pub. Date
21 March, 2018
Paper ID
V4I2-1323
Publisher
Keywords
MRE, COCOMO, Fuzzy, Effort Multiplier, Software, Risk

Citationsacebook

IEEE
Nishi, Vikas Malik. A Review Paper on Software Cost Estimation using Fuzzy Logic, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nishi, Vikas Malik (2018). A Review Paper on Software Cost Estimation using Fuzzy Logic. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Nishi, Vikas Malik. "A Review Paper on Software Cost Estimation using Fuzzy Logic." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

With the pace of time software cost estimation is one of the most tedious works in project management. The entire process of estimation is uncertain in nature because it relies upon some attributes which cannot be predicted during the early stages of development. After studying various research papers given by different researcher we try to explore soft computing techniques which can be able to overcome the uncertainty and imprecision in estimation. The crucial focus of this article is to investigate the importance of fuzzy logic technique in enhancing the effort estimation accuracy, using COCOMO II by characterizing input parameters using various functions for example Gaussian, trapezoidal and triangular membership functions and comparing their results. In our study NASA (93) dataset will also be used in the evaluation of the proposed Fuzzy Logic COCOMO II. After that deep analysis will be done by various membership functions and then will declare which function gives better results for maximum criteria when compared with the other technique.
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