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A Novel Evolutionary Approach to Software Cost Estimation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 4 |
| Year of Publication: 2015 |
| Authors: Disha Guleria |
10.5120/ijca2015906045
|
Disha Guleria . A Novel Evolutionary Approach to Software Cost Estimation. International Journal of Computer Applications. 126, 4 ( September 2015), 47-52. DOI=10.5120/ijca2015906045
Abstract
Human Opinion Dynamics is a novel approach to solve complex optimization problems. This paper proposes and implements Human Opinion Dynamics for tuning the parameters of COCOMO model for Software Cost Estimation. The input is coding size or lines of code and the output is effort in Person-Months. Mean Absolute Relative Error and Prediction are the two objectives considered for the fine tuning of parameters. The dataset considered is COCOMO. The current paper demonstrates that use of human opinion dynamics illustrated promising results. It has been observed that when compared with standard COCOMO it gives better results.
References
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