• DocumentCode
    603216
  • Title

    Analysis of the Techniques for Software Cost Estimation

  • Author

    Pandey, Parul

  • Author_Institution
    GLA Univ., Mathura, India
  • fYear
    2013
  • fDate
    6-7 April 2013
  • Firstpage
    16
  • Lastpage
    19
  • Abstract
    One of the most valuable asset in any software industry is the correct estimation of effort and hence cost estimation of the software to be developed by them. Because of the highly dynamic nature of the Software development, it becomes more and more difficult to get a correct software effort estimation and software cost estimation, which is one of the most important factor which makes software more competitive and is essential for controlling Software Development Cost. Software Cost Estimation is one of the challenging managerial activity, because values of many of the variables are not known and not easy to predict at an early stage of Software Development. An ideal Software Cost Estimation Model should provide ample confidence, precision and accuracy from its predictions. In this paper, we have performed an analysis of most of the algorithmic techniques which has been developed till now for Software Cost Estimation. We have also tried to analyze the advantages and shortcomings of every technique.
  • Keywords
    DP industry; software cost estimation; COCOMO model; algorithmic techniques; correct software effort estimation; global software market; software cost estimation model; software development cost control; software industry; Atmospheric modeling; Estimation; Machine learning algorithms; Neurons; Software; Software algorithms; Software engineering; COCOMO model; Non-parametric models; Software Cost Estimation; parametric models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Communication Technologies (ACCT), 2013 Third International Conference on
  • Conference_Location
    Rohtak
  • ISSN
    2327-0632
  • Print_ISBN
    978-1-4673-5965-8
  • Type

    conf

  • DOI
    10.1109/ACCT.2013.13
  • Filename
    6524267