Cost Estimation of the Models Using Harmony Search

  • Authors

    • Dr T. Vijaya Saradhi
    • A Lakshmi Pravallika
    • M Manoj
    2018-05-31
    https://doi.org/10.14419/ijet.v7i2.32.15718
  • Meta Heuristic techniques, Cost Estimation, Harmony Search Algorithm.

  • To estimate the cost of model accurately on which the software is functioning is one of the most important things in the software project. But due to the varying nature of the software, and complexity, accurate cost estimation of software has become difficult. Ascertaining the cost of the software at the beginning stage is helpful for designing the other activities of software development. Former estimation of the needed exertion to Creating programming need benefited the advancement acknowledging those provision about Meta heuristic streamlining calculations. These calculations need aid possibility and might a chance to be connected Likewise functional devices for programming expense estimation. In the recent times Meta- heuristic algorithms with high accuracy have brought a great improvement in the field of the software engineering. In this paper we have discussed about the one of the algorithm which help in software cost estimation which is Harmony Search.

     

     

  • References

    1. [1] Aashima Kundu, Vikas Sethi “Parameter Estimation of COCOMO II using Simulated Annealing†2012.

      [2] A Research Paper on Software Cost Estimation COCOMO Model: A Survey, Priyanka Jain , Aditi

      [3] Jain, GADL Journal of Inventions in Computer Science and Communication Technology (JICSCT) ISSN(O): 2455-5738 Volume 3 – Issue 2, March-April, 2017.

      [4] Kennedy, J.; Eberhart, R. (1995). "Particle Swarm Optimization". Proceedings of IEEE International Conference on Neural Networks. IV. pp. 1942–1948

      [5] Rohit Kumar Sachan, Ayush Nigam, Avinash Singh, Sharad Singh, Manjeet Choudhary, Avinash Tiwari and Dharmender Singh Kushwaha “Optimizing Basic COCOMO Model using Simplified Genetic Algorithm†Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016).

      [6] Software Cost Estimation using Function Point with Non-Algorithmic Approach By Dr. N. Balaji, N. Shivakumar & V. Vignaraj Ananth, Global Journal of Computer Science and Technology Software & Data Engineering Volume 13 Issue 8 Version 1.0 Year 2013.

      [7] A.F. Sheta, “Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projectsâ€, Journal of Computer Science, Vol. 2, No. 2, pp.118-123, 2006.

      [8] A. Rastegar, “Development harmony search method for solving optimization problems: A Case Study in production scheduling parallel machinesâ€, Journal of Industrial Engineering studies in production systems ,pp. 57-71,2013.

      [9] Ziauddin, Sh. K.Tipu, Kh. Zaman, Sh. Zia, “Software Cost Estimation Using Soft Computing Techniquesâ€, Advances in Information Technology and Management (AITM), Vol. 2, No. 1, pp. 233-238, 2012.

      [10] Prasad Reddy P.V.G.D, Hari CH.V.M.K, S. Rao.T, “Multi Objective Particle Swarm Optimization for Software Cost Estimationâ€, International Journal of Computer Applications, Vol. 32, No.3, pp. 13-17, October 2011

      [11] V. Kh. Bardsiri, “An Optimization-Based Method to Increase the Accuracy of Software Development Effort Estimationâ€, Journal of Basic and Applied Scientific Research , pp. 159-166,2013.

      [12] A. O. GaƺiƼina, “The Optimization of COCOMO Model Coefficients Using Genetic Algorithmsâ€, Information Technology and Management Science ,pp.45-51,2012

      [13] M. A. Mahdavi, “ An improved harmony search algorithm for solving optimization problemsâ€, App1 Math Comput ,pp.1567-1579,2007

      [14] V. Khatibi, and D. Jawawi, “ Software Cost Estimation Methods: A Reviewâ€, Journal of Emerging Trends in Computing and Information Sciences ,vol 2 ,pp. 21-29,2011

      [15] S.G. MacDonell, A.R. Gray, “A Comparison of Modeling Techniques for Software Development Effort Predictionâ€, in Proceedings of International Conference on Neural Information Processing and Intelligent Information Systems, pp. 869872, 1997.

      [16] Z.A. KHALIFELU, F.S. GHAREHCHOPOGH, “A New Approach in Software Cost Estimation Using Regression Based Classifierâ€, AWER Procedia Information Technology & Computer Science Journal, Vol. 2, pp. 252-256, December 2012.

      [17] F. S. Gharehchopogh, “A Novel Particle Swarm Optimization Approach for Software Effort Estimationâ€, International Journal of Academic Research , vol.6, PP.69-76,2014.

      [18] Barry W. Boehm, Ricardo Valerdi “Achievements and Challenges in Cocomo based Software Resource Estimation†IEEE software (Volume: 25, Issue:5, Sept.-Oct. 2008)

  • Downloads

  • How to Cite

    T. Vijaya Saradhi, D., Lakshmi Pravallika, A., & Manoj, M. (2018). Cost Estimation of the Models Using Harmony Search. International Journal of Engineering & Technology, 7(2.32), 377-380. https://doi.org/10.14419/ijet.v7i2.32.15718