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Reseach Article

A Review on Soft Computing based Software Effort Estimation Models

Published on December 2014 by Puja D Saraf, Priti S Sanjekar, Bharati D Patil
National Conference on Emerging Trends in Information Technology
Foundation of Computer Science USA
NCETIT - Number 2
December 2014
Authors: Puja D Saraf, Priti S Sanjekar, Bharati D Patil
786dbfdf-e12e-453e-992b-35b667ee1606

Puja D Saraf, Priti S Sanjekar, Bharati D Patil . A Review on Soft Computing based Software Effort Estimation Models. National Conference on Emerging Trends in Information Technology. NCETIT, 2 (December 2014), 12-15.

@article{
author = { Puja D Saraf, Priti S Sanjekar, Bharati D Patil },
title = { A Review on Soft Computing based Software Effort Estimation Models },
journal = { National Conference on Emerging Trends in Information Technology },
issue_date = { December 2014 },
volume = { NCETIT },
number = { 2 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 12-15 },
numpages = 4,
url = { /proceedings/ncetit/number2/19072-3021/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Information Technology
%A Puja D Saraf
%A Priti S Sanjekar
%A Bharati D Patil
%T A Review on Soft Computing based Software Effort Estimation Models
%J National Conference on Emerging Trends in Information Technology
%@ 0975-8887
%V NCETIT
%N 2
%P 12-15
%D 2014
%I International Journal of Computer Applications
Abstract

Accurately estimating the code size, cost, effort and schedule is probably the leading vital challenge facing code developers lately. It's major implications for the management of code development as a consequences of every the overestimates and underestimates have direct impact for inflicting damage to code companies. Heap of models square measure projected over the years by varied researchers for ending effort estimations. in addition variety of the studies for early stage effort estimations promoter the importance of early estimations. New paradigms offeralternatives to estimate the code development effort, specially the machine Intelligence (CI) that exploits mechanisms of interaction between humans and processes domain information with the intention of building intelligent systems (IS). Among IS, Artificial Neural Network and logic unit of quantity the two most popular soft computing techniques for code development effort estimation. The aim of this study is to research soft computing techniques inside the there models and to bring thorough review of code and project estimation techniques existing in trade.

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Index Terms

Computer Science
Information Sciences

Keywords

Effort Estimation Fuzzy Logic Soft Computing Cocomo Loc Putnam Model