Study and Analysis of Software Effort Estimation Methods using Watersluice Technique

Authors

  • Lakshmi Shanker Singh  Research Scholar, Department of Computer Science, Monad University, N.H. 9, Delhi Hapur Road, Hapur, Uttar Pradesh, India
  • Dr. Rupak Sharma  Assistant Professor, S.R.M. Institute of Science, S.R.M. University, NCR Campus, Delhi Meerut Road, Modinagar Ghaziabad, Uttar Pradesh, India

DOI:

https://doi.org/10.32628/IJSRSET2181122

Keywords:

COCOMO model, Watersluice Technique, Multi layer neural network, artificial neural network

Abstract

There are many techniques we have to find out the cost estimation of the software project, when the overall labor is figured on a variety of factors. In This thesis has different research papers in it. Some used different techniques to get an estimate of the s/w cost but the estimated hours for the salary of a programmer isn't always very close to the actual s/w cost. To solve this issue, this author developed an artificial neural network to estimate the s/w cost. In this report, we have found that the Multilayer Feed-forward Neural Network technique is a good way to run a cost-analysis program. In our proposed work there will be 23 parameters that we control including 15 costs from the Ext. supplier, 2 biases, lines of code (Line of Code), actual cost and 5 scale factors. The calculation of our proposed work, MRE, and MMRE is the outcome we have planned for. The COCOMO data set has been used to train and test this framework or neural network. Neural networks trained on data from previous trials are compared with the conclusions that COCOMO model would have reached. The determination of our research is to increase the accuracy of the estimation of the COCOMO model by introducing it to the Multi layer neural network [6].

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-02-28

Issue

Volume 8, Issue 1, January-February-2021

Section

Research Articles

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How to Cite

[1]
Lakshmi Shanker Singh, Dr. Rupak Sharma "Study and Analysis of Software Effort Estimation Methods using Watersluice Technique" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 1, pp.306-314, January-February-2021. Available at doi : https://doi.org/10.32628/IJSRSET2181122