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Software Effort Estimation Using Particle Swarm Optimization with Inertia Weight
CH V M K HARI, Prasad Reddy.P.V.G.D
Pages - 87 - 96     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 2   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
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KEYWORDS
Software Effort Estimation, Software Cost Estimation, Particle Swarm Optimization
ABSTRACT
Software is the most expensive element of virtually all computer based systems. For complex custom systems, a large effort estimation error can make the difference between profit and loss. Cost (Effort) Overruns can be disastrous for the developer. The basic input for the effort estimation is size of project. A number of models have been proposed to construct a relation between software size and Effort; however we still have problems for effort estimation because of uncertainty existing in the input information. Accurate software effort estimation is a challenge in Industry. In this paper we are proposing three software effort estimation models by using soft computing techniques: Particle Swarm Optimization with inertia weight for tuning effort parameters. The performance of the developed models was tested by NASA software project dataset. The developed models were able to provide good estimation capabilities.
CITED BY (1)  
1 Sandhu, G. S., & Salaria, D. S. (2014). A Bayesian Network Model of the Particle Swarm Optimization for Software Effort Estimation. International Journal of Computer Applications, 96(4).
1 Google Scholar 
2 CiteSeerX 
3 Scribd 
4 SlideShare 
5 PdfSR 
Alaa F. Sheta , “Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects”, Journal of Computer Science 2 (2): 118-123, ISSN 1549- 36362006, 2006.
Alaa Sheta, David Rine and Aladdin Ayesh (2008), Development of Software Effort and Schedule Estimation Models Using Soft Computing Techniques, IEEE Transaction, 978-1- 4244-1823-7/08/PP: 1283-1289@2008 IEEE.
Alaa Sheta, David Rine and Aladdin Ayesh,” Development of Software Effort and Schedule Estimation Models Using Soft Computing Techniques”, 2008 IEEE Congress on Evolutionary Computation (CEC 2008), DOI: 978-1-4244-1823-7/08, 2008
Anish M, Kamal P and Harish M, Software Cost Estimation using Fuzzy logic, ACM SIGSOFT Software Engineering Notes,Vol.35 No.1, ,November 2010, pp.1-7
C.A. Coello Coello et al. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer, 2002.
D. E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison- Wesley, 1989.
Iman A and Siew H.O, Soft Computing Approach for Software Cost Estimation, Int.J. of Software Engineering, IJSE Vol.3 No.1, January 2010, pp.1-10.
Iman Attarzadeh and Siew Hock Ow (2010), Soft Computing Approach for Software Cost Estimation, Int.J. of Software Engineering, IJSE Vol.3 No.1, PP: 1-10, January 2010.
J.S.Pahariya, V. Ravi, M. Carr (2009), Software Cost Estimation using Computational Intelligence Techniques, IEEE Transaction, 978-1-4244-5612-3/09/PP: 849-854@2009 IEEE
John w. Bailey and victor R.Basili,(1981) ”A meta model for software development resource expenditures”, Fifth International conference on software Engineering, CH-1627- 9/81/0000/0107500.75@ 1981 IEEE, PP 107-129,1981.
K. Deb. Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley and Sons, 2002.
Parvinder S. Sandhu, Porush Bassi, and Amanpreet Singh Brar (2008), Software Effort Estimation Using Soft Computing Techniques, PP: 488-491, 2008.
Robert T. F. Ah King and Harry C. S. Rughooputh, “Elitist Multi evolutionary algorithm for environmental/economic dispatch”, IEEE 2003.
Tad Gonsalves, Atsushi Ito, Ryo Kawabata and Kiyoshi Itoh, (2008), Swarm Intelligence in the Optimization of Software Development Project Schedule, DOI 587 10.1109/COMPSAC.2008.179, PP: 587-592, 2008.
Xishi Huang, Danny Ho, Jing Ren, Luiz F. Capretz (2005), Improving the COCOMO model using a neuro-fuzzy approach, doi:10.1016/j.asoc.2005.06.007, Applied Soft Computing 7 (2007) PP: 29–40, @2005 Elsevier.
Mr. CH V M K HARI
Gitam University - India
kurmahari@gmail.com
Mr. Prasad Reddy.P.V.G.D
- India