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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1572

Title: Software Effort Estimation with Different Artificial Neural Network
Authors: Singh, J
Sahoo, Bibhudatta
Keywords: Effort Estimation
Artificial Neural Network
Issue Date: 2011
Publisher: Foundation of Computer Science, USA
Citation: IJCA Special Issue on 2nd National Conference- Computing, Communication and Sensor Network (CCSN) (4):13-17, 2011. Published by Foundation of Computer Science, New York, USA.
Abstract: Failures of software are mainly due to the faulty project management practices, which includes effort estimation. Continuous changing scenarios of software development technology makes effort estimation more challenging. Ability of ANN(Artificial Neural Network) to model a complex set of relationship between the dependent variable (effort) and the independent variables (cost drivers) makes it as a potential tool for estimation. This paper presents a performance analysis of different ANNs in effort estimation. We have simulated four types of ANN created by MATLAB10 NNTool using NASA dataset
Description: Copyright belongs to International Journal of Computer Applications
URI: http://hdl.handle.net/2080/1572
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