Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
Fuzzy Based Approach for Predicting Software Development Effort
Prasad Reddy , Sudha.K.R., Rama Sree P , Ramesh
Pages - 1 - 11     |    Revised - 30-4-2010     |    Published - 10-06-2010
Volume - 1   Issue - 1    |    Publication Date - May 2010  Table of Contents
Fuzzy Identification, , EAF, Development Effort
Software development effort prediction is one of the most significant activity in software project management. The literature shows several algorithmic cost estimation models such as Boehm’s COCOMO, Albrecht's' Function Point Analysis, Putnam’s SLIM, ESTIMACS etc, but each do have their own pros and cons in estimating development cost and effort. This is because project data, available in the initial stages of project is often incomplete, inconsistent, uncertain and unclear. The need for accurate effort prediction in software project management is a challenge till today. Fuzzy logic-based estimation models are more apt when vague and inaccurate information is to be used. In the present paper software development effort prediction using Fuzzy triangular and GBell membership functions is presented and compared with COCOMO. A case study based on the COCOMO81 database compares the proposed fuzzy model with the Intermediate COCOMO. The results were analyzed using five different criterions VAF, MARE, VARE, Prediction and BRE. It is observed that the fuzzy model using triangular membership function provided better results
CITED BY (0)  
1 Google Scholar
2 Academic Index
3 CiteSeerX
4 refSeek
5 Scribd
1 Ramil, J.F. , Algorithmic cost estimation for software evolution, Software Engg. (2000) 701-703.
2 Angelis L, Stamelos I, Morisio M, Building a software cost estimation model based on categorical data, Software Metrics Symposium, 2001- Seventh International Volume (2001) 4-15
3 B.W. Boehm, Software Engineering Economics, Prentice-Hall, Englewood Cli4s, NJ, 1981
4 Kirti Seth, Arun Sharma & Ashish Seth, Component Selection Efforts Estimation– a Fuzzy Logic Based Approach, IJCSS-83, Vol (3), Issue (3).
5 Zhiwei Xu, Taghi M. Khoshgoftaar, Identification of fuzzy models of software cost estimation, Fuzzy Sets and Systems 145 (2004) 141–163
6 Harish Mittal, Harish Mittal, Optimization Criteria for Effort Estimation using Fuzzy Technique, CLEI Electronic Journal, Vol 10, No 1, Paper 2, 2007
7 R. Babuska, Fuzzy Modeling For Control, Kluwer Academic Publishers, Dordrecht, 1999
8 Moshood Omolade Saliu, Adaptive Fuzzy Logic Based Framework for Software Development Effort Prediction, King Fahd University of Petroleum & Minerals, April 2003
9 Iman Attarzadeh and Siew Hock Ow, Software Development Effort Estimation Based on a New Fuzzy Logic Model, IJCTE, Vol. 1, No. 4, October2009
10 Xishi Huang, Danny Ho,Jing Ren, Luiz F. Capretz, A soft computing framework for software effort estimation, Springer link, Vol 10, No 2 Jan-2006
11 Prasad Reddy P.V.G.D, Sudha K.R , Rama Sree P & Ramesh S.N.S.V.S.C,Software Effort Estimation using Radial Basis and Generalized Regression Neural Networks, Journal of Computing, Vol 2, Issue 5 May 2010, Page 87-92
Mr. Prasad Reddy
- India
Professor Sudha.K.R.
Andhra University - India
Mr. Rama Sree P
- India
Mr. Ramesh
- India