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Software Cost Estimation using Algorithmic Model and Non-Algorithmic Model a Review

Published on December 2014 by L.r.nerkar, P.m.yawalkar
journal_cover_thumbnail

Innovations and Trends in Computer and Communication Engineering
Foundation of Computer Science USA
ITCCE - Number 2
December 2014
Authors: L.r.nerkar, P.m.yawalkar
162b52c8-f94d-48c8-966c-d1877eb494b2

L.r.nerkar, P.m.yawalkar . Software Cost Estimation using Algorithmic Model and Non-Algorithmic Model a Review. Innovations and Trends in Computer and Communication Engineering. ITCCE, 2 (December 2014), 4-7.

@article{
author = { L.r.nerkar, P.m.yawalkar },
title = { Software Cost Estimation using Algorithmic Model and Non-Algorithmic Model a Review },
journal = { Innovations and Trends in Computer and Communication Engineering },
issue_date = { December 2014 },
volume = { ITCCE },
number = { 2 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 4-7 },
numpages = 4,
url = { /proceedings/itcce/number2/19045-2010/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations and Trends in Computer and Communication Engineering
%A L.r.nerkar
%A P.m.yawalkar
%T Software Cost Estimation using Algorithmic Model and Non-Algorithmic Model a Review
%J Innovations and Trends in Computer and Communication Engineering
%@ 0975-8887
%V ITCCE
%N 2
%P 4-7
%D 2014
%I International Journal of Computer Applications
Abstract

Software Project Estimation is the process of computing the effort & cost required to develop software. Software cost estimation is one of the most important factor in software project management. This review paper provides a general overview of software cost estimation techniques using algorithmic and non-algorithmic model. The techniques such as COCOMO model, Putnam Model, Function-Point based Model, expert judgment, estimation by analogy, Parkinson's Law and pricing to win. Each estimation technique has its own pros and cons. Also, it provides overview of Hybrid Model. The main purpose of this paper is to explain all the existing techniques of software cost estimation. Actually, it is true that, only one technique is not best for all conditions to generate the realistic estimates.

References
  1. Software Engineering 8th Edition – Lan Sommerville.
  2. "Software Cost Estimation Methods: A Review" - Vahid Khatibi, Dayang N. A. Jawawi. Volume 2 No. 1 ISSN 2079-8407 Journal of Emerging Trends in Computing and Information Sciences ©2010-11 CIS Journal.
  3. "Software Effort Estimation Approaches - A Review"- S. K. Mohanty and A. K. Bisoi. International Journal of Internet Computing ISSN No: 2231 – 6965, VOL- 1, ISS- 3 2012.
  4. "Software Cost Estimation" - Hareton Leung, Zhang Fan
  5. "The Comparison of the Software Cost Estimating Methods" - Liming Wu, University of Calgary.
  6. "Literature Survey On Algorithmic And Non- Algorithmic Models For Software Development Effort Estimation" - K. Ramesh P. Karunanidhi, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 2 Issue 3 March 2013 Page No. 623-632.
  7. "E-Cost Estimation Using Expert Judgment and COCOMO II" - Zulkefli Bin Mansor, Zarinah Mohd Kasirun, Noor Habibah Hj Arshad, Saadiah Yahya, ITSIM'10, 15-18 June 2010, Kuala Lumpur, Malaysia. Copyright 2010 IEEE 978-1-4244-6716-7/10/$26.
Index Terms

Computer Science
Information Sciences

Keywords

Cost Estimation Technique Realistic Estimates Software Estimation Webcost.