This paper is published in Volume-4, Issue-3, 2018
Area
Engineering
Author
Nishi
Co-authors
Vikas Malik
Org/Univ
Bhagat Phool Singh Mahila Vishwavidyalaya, Sonepat, Haryana, India
Pub. Date
08 May, 2018
Paper ID
V4I3-1175
Publisher
Keywords
Software Cost Estimation, Software cost estimation models, Software cost estimation technique, Fuzzy Logic for Software Cost Estimation.

Citationsacebook

IEEE
Nishi, Vikas Malik. Fuzzy logic technique for estimating software cost using Cocomo, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nishi, Vikas Malik (2018). Fuzzy logic technique for estimating software cost using Cocomo. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Nishi, Vikas Malik. "Fuzzy logic technique for estimating software cost using Cocomo." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

Software cost estimation is the most challenging and important activities in software development. Developers want a simple and accurate method of efforts estimation. Estimation of cost before starting of work is a prediction and prediction always not accurate. The exact Software Price Estimation (SPE) is very difficult in the early stages of software development because many of input parameters that are active in software exploit are uncertain in the early stages. Accurate cost estimation helps us complete the project within time and budget. For this work, we have knowledge of all available techniques and tool of software cost estimation. The growing application of software and resource constraints in software task development needs a more accurate estimate of the cost and effort because of the importance in program planning and resource management admitting the number of programmings and software plan using tools and modern methods of modeling. The fuzzy set and fuzzy logic can produce accurate software attributes.
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