• DocumentCode
    260795
  • Title

    Software cost estimation by analogy using feed forward neural network

  • Author

    Manikavelan, D. ; Ponnusamy, R.

  • Author_Institution
    Dept. of CSE, Sathyabama Univ., Chennai, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The software cost estimation is an important factor for making estimation in software Engineering. The general question that comes to our mind during cost estimation is how to make them accurate. This is a common area for failing the estimation like the customers not sharing their requirements clearly and swift the technologies with payable to open source, and efficiency (memory and execution time) etcetera. No method is necessarily better or worse than the other, in fact, their strengths and weaknesses are often complimentary to each other. Non-Algorithmatic cost estimation contains the method named analogy. It helps to compare the proposed project to similar projects from the past. In this paper feed forward neural algorithm is used in analogy to get accurate software cost estimation.
  • Keywords
    feedforward neural nets; genetic algorithms; software cost estimation; analogy; feed forward neural algorithm; feed forward neural network; nonalgorithmatic cost estimation; software cost estimation; software engineering; Automation; Estimation; Feeds; Manuals; Software; Software algorithms; Testing; COCOMO; Computational Intelligence; Evolutionary Algorithm; Feed Forward Neural Network; Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7033820
  • Filename
    7033820