Abstract—The effort invested in a software project is one of the most challenging task and most analyzed variables in recent years in the process of project management. Many effort estimation models are developed. Each of these models has their own pros and cons in estimating the development cost and effort. This is because in initial stages project data is often incomplete and unclear. The most widely used model for effort estimation is Constructive Cost Model (COCOMO) but there is a great deal of imprecision present in its input which leads to imprecision in its output thereby resulting in erroneous effort estimation. Fuzzy logic based cost estimation models address the vagueness and imprecision present in these models to make reliable and accurate estimates of effort. The aim of this paper is to analyze the use of fuzzy logic in the COCOMO model and to provide indepth review and comparison of software effort estimation models.
Index Terms—Project management, software effort estimation, fuzzy logic, COCOMO model
A. Kaushik is with the Department of Information Technology, Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi, India (e-mail: thisisanupama@gmail.com).
A. K. Soni is with the Department of Information Technology, Sharda University, Greater Noida, U.P, India (e-mail: ak.soni@sharda.ac.in).
R. Soni is with the Department of Computer Science and Applications, D.A.VCollege, Yamunanagar, Haryana, India (e-mail:sonirachna67@gmail.com).
[PDF]
Cite: Anupama Kaushik, A. K. Soni, and Rachna Soni, "A Comparative Study on Fuzzy Approaches for COCOMO‟s Effort Estimation,"
International Journal of Computer Theory and Engineering vol. 4, no. 6, pp. 990-993, 2012.
