Using Grey Relational Analysis and PSO to Estimate Software Cost

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-34 Number-3
Year of Publication : 2016
Authors : Nusbah Suroor, Shabina Ghafir
  10.14445/22312803/IJCTT-V34P122

MLA

Nusbah Suroor, Shabina Ghafir "Using Grey Relational Analysis and PSO to Estimate Software Cost". International Journal of Computer Trends and Technology (IJCTT) V34(3):125-128, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Software Cost Estimation is one of the most important activities in planning software projects. If cost and effort estimation is not done accurately, it can lead to huge losses and ultimately project failures. In fact, Poor estimation is one of the main causes for project failures. However, accurate cost estimation is a challenging task. The traditional parametric models have somewhat failed in this regard. More recently, attention has shifted to soft computing techniques. These techniques help to provide estimations for real life dynamic and ambiguous systems. The aim of this paper is to propose a new technique of cost estimation which utilizes the advantages of Grey Relational Analysis and Particle Swarm Optimization.

References
(1) Boehm, B.W., Software Engineering Economics". IEEE Transactions on Software Engineering, Vol.10, No.1, pp.4{21, 1984.
(2) Song, Q., Shepperd, M. and Mair, C., “ Using Grey Relational Analysis to Predict Software Effort with Small Data Sets”. Proceedings of 11th IEEE International Software Metrics Symposium (Metrics 2005), 19-22 September, 2005, Como, Italy
(3) Hsu, C. J., Huang, C. Y. and Hung, T. Y., A Study of Applying Grey Relational Analysis to Software Effort Estimation, CD-ROM Proceedings of the 36th International Conference on Computers and Industrial Engineering (ICCIE 2006), June 2006, Taipei, Taiwan.
(4) Hsu, C. J. and Huang, C. Y., Improving Effort Estimation Accuracy by Weighted Grey Relational Analysis During Software Development Process, Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), pp. 534-541, Nagoya, Japan, Dec. 2007
(5) xHuang, S. J., Chiu, N. H., Chen, L. W, Integration of the grey relational analysis with genetic algorithm for software effort estimation, European Journal of Operational Research, Volume 188, Issue 3, 1 August 2008, Pages 898- 909
(6) Wang Y, Song QB, Stephen MacDonell, Martin Shepperd, and Shen JY. Integrate the GM(1,1) and Verhulst Models to Predict Software Stage- Effort. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, Vol.39, No.6, 2009
(7) Deng J (1989) Introduction to grey system theory, Journal of Grey System 1:1–24. (8) Deng J (1989) Grey information space, Journal of Grey System 1: 103–117.
(9) Huang SJ, Chiu NH (2006) optimization of analogy weights by genetic algorithm for software effort estimation. Journal of Information & software technology: 48 : 1034- 1045
(10) Ziauddin, Sh. K. Tipu, K. Zaman, Sh. Zia, “Software Cost Estimation Using Soft Computing Techniques”, Advances in Information Technology and Management (AITM),Vol. 2, No. 1, pp. 233-238, (2012).
(11) Prasad reddy P.V.G.D, Ch.V.M.K.Hari, “Software Effort Estimation Using Particle Swarm Optimization with Inertia Weight”, Global Journal of Computer Science and Technology, October 2011
(12) Anurag Kumar, Amit Sinhal, Bhupendra Verma, “A Novel Technique of Optimization for Software Metric Using PSO”,International Journal of Soft Computing And Software Engineering (JSCSE) e-ISSN: 2251-7545 Vol.3,No.10, 2013
(13) Jin Dai, Xin Liu, and Feng Hu, “Research and Application for Grey Relational Analysis in Multigranularity Based on Normality Grey Number,” The Scientific World Journal, vol. 2014, Article ID 312645, 10 pages, 2014. doi:10.1155/2014/312645
(14) Ganesh, Marappagounder Krishnamoorthy Shanker, and Keppanagounder Thanushkodi. "AN EFFICIENT SOFTWARE COST ESTIMATION TECHNIQUE USING FUZZY LOGIC WITH THE AID OF OPTIMIZATION ALGORITHM."
(15)Sifeng Liu, Jeffrey Forrest, “The Current Developing Status on Grey System Theory”, The Journal of Grey System 2 (2007) 111123\
(16) Farhad Soleimanian Gharehchopogh, Isa Maleki, Seyyzzeed Reza Khaze, “A NOVEL PARTICLE SWARM OPTIMIZATION APPROACH FOR SOFTWARE EFFORT ESTIMATION”, International Journal of Academic Research Part A; 2014; 6(2), 69-76. DOI: 10.7813/2075-4124.2014/6-2/A.12
(17)Tad Gonsalves, Kei Yamagishi, Ryo Kawabata, Kiyoshi Itoh, “Optimizing Software Development Cost Estimates using Multi- Objective Particle Swarm Optimization”, IGI Global, DOI: 10.4018/978-1-60566-758- 4.ch003
(18) Mangal , & Blamah NV, “A particle Swarm Optimization-based Framework for Agile Software Effort Estimation”, The International Journal Of Engineering And Science (IJES) Volume 3 Issue 6 2014
(19)Mohammad Azzeh, Daniel Neagu, Peter Cowling, “Software Effort Estimation Based on Weighted Fuzzy Grey Relational Analysis”, CONFERENCE PAPER · JANUARY 2009, DOI: 10.1145/1540438.1540450 · Source: DBLP,Researchgate.net/publication/220851926
(20) Prof. N. Suresh, Dr. D. Manimegalai, “A Novel Approach in Cost Estimation based on Algorithmic Model.”, International Journal of Computer Trends and Technology- volume 3 Issue 5- 2012

Keywords
Software Cost Estimation, Grey Relational Analysis, Particle Swarm Optimization, MRE, MMRE.