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International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Artificial Neural Network Models For Software Effort Estimation

[Full Text]

 

AUTHOR(S)

P.Subitsha, J.Kowski Rajan

 

KEYWORDS

Keywords : Artificial neural network, Cocomo

 

ABSTRACT

ABSTRACT: Software estimation accuracy is one of the greatest challenges for software developers. Software cost and time estimation supports the planning and tracking of software projects. The present paper is directed to design a model which should be accurate and comprehensible in order to inspire confidence in a business setting. Software effort estimation models which adopt a neural network technique provide a solution to improve the accuracy. However, no univocal conclusion to which technique is the most suited has been reached. This study addresses this issue by reporting on the results of a large scale benchmarking study. Different types of techniques are under consideration including techniques such as Multilayered Perceptron Network, Radial Basis Function Neural Network, Support Vector Machines, Extreme Learning Machines and Particle Swarp Optimization. Studies are made using COCOMO II data. Results are provided for MMRE and PRED (25) accuracy measures.

 

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