Software Effort Estimation Techniques
DOI:
https://doi.org/10.26438/ijcse/v7i1.139142Keywords:
Delphi, COCOMO, Neural network, k-nearest tree, Regression treeAbstract
One of the major concern of every software organization is software effort estimation. As size and complexity of software increases, it becomes very difficult to estimate the cost of efforts needed to built the software. This has attracted many researchers. Software estimation techniques applied by some of them gave good results and some did the opposite but none of the techniques has given accurate results in every situation. This paper focuses on literature review on research studies done in this field in the past few years. Comparative analysis of those techniques is also done.
References
[1]. Ali BouNassif, Luiz Fernando Capretz Danny Ho “Software Estimation in the early stages of the software”:International conference on emerging Trends in computer science, communications and information technology nanded, Maharashtra, India,9-11 January 2010
[2]. Vu Nguyen “Improved sized and effort estimation models for software maintenance”:26th IEEE international conference on software maintenance in Timisoara, Romania 978-1-4244-8628-1/10/$26.00@2010 IEEE
[3]. MagneJørgensen and Martin Shepperd“ A Systematic Review of Software Development Cost Estimation Studies”:IEEE Transactions on Software Engineering, Vol,33 No.1, ISSN:2319-7323 Vol. 3 No.01 January 2007
[4]. Rosa,Wilson; Madachy,Ray; Boehma,Barry; Clark, Brad “Simple Empirical Software Effort Estimation Model”:ESEM’14, September 18-19,2014,Torino, Italy
[5]. Rshmachawala; Deepak Ahlawat, Mukesh kumar “Software Development effort Estimation Techniques: A Review”:“International Journal of Electronics communication and computer Engineering” volume 5,Issue 5, ISSN (online):2249-071X,ISSN(Print):2278-4209
[6]. AmidKhatrib, Bardsiri; Seyyed Mohsen Hashemi: “A Servey of Well-Know approaches”: International Journal of computer Science Engineering(IJCSE) ISSN:2319-7323,Vol.3 No.01 Jan. 2014
[7]. Mohammed Aljohani, Rizwan Qureshi: “Comparative Study of Software Estimation Techniques”: International Journal of Software Engineering & Applications (IJSEA), Vol.8, No.6, November 2017
[8]. KjetilMoløkken, MagneJørgensen: “A Review of Surveys on Software on Software Effort Estimation”:Proceedings of the 2003 International Symposium on Empirical Software Engineering (ISESE’03)0-7695-2002-2/03 $ 17.00 © 2003 IEEE
[9]. Jack E. Matson, Bruce E. Barrett, and Joseph M. Mellichamp; “Software Development Cost Estimation Using Function Points”;IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL.20,NO.4, APPRIL 1994
[10].Mehwish Nasir; “A Survey of Software Estimation Techniques and Project Planning Practices”:Proceedings of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing SNPD’06) 0-7695-2611-X/06 $20.00 © 2006 IEEE
[11].Younghee Kim, Keumsuk Lee; “A Comparison of Techniques for Software Development Effort Estimating”:SYSTEM INTEGRATION 2005
[12]. KjetilMoløkken and MagneJørgensen: “A Review of Surveys on Software Effort Estimation”; Proceedings of the 2003 International Symposium on Empirical Software Engineering (ISESE’03) 0-7695-2002-2/03 $ 17.00 © 2003 IEEE
[13].P.KSuri, PallaviRanjan, “Comparative Analysis of Software Effort Estimation Techniques”: International Journal of Computer Applications (0975 – 8887) Volume 48– No.21, June 2012
[14]. HimaniRastogi; Swati Dhankar, “A Survey on Software Effort Estimation Techniques”: 5th International Conference- Confluence The Next Generation Information Technology Summit (Confluence) 978-1-4799-4236-7/14/$31.00_c 2014 IEEE
[15]. Tim Menzies, Zhihao Chen, JairusHihn and Karen Lum,: “Best Practices in Software Effort Estimation ”, IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 1, NO. 1, JANUARY 1901 1
[16]. Om ParkashTalilor, Jyoti Saini, Mrs. PoonamRijwani: “Comparative Analysis of Software Cost and Effort Estimation Methods: A Review”; IJCSMC, Vol. 3, Issue. 4, April 2014, pg.1364 – 1374
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
