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Human Opinion Dynamics for Software Cost Estimation

  • Ruchi Puri
  • Iqbaldeep Kaur
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 437)

Abstract

Human opinion dynamics is a novel approach to solve complex optimization problems. In this paper we propose and implement human opinion dynamics for tuning the parameters of the 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 fine-tuning of parameters. The dataset considered is COCOMO. The current paper demonstrates that use of human opinion dynamics illustrates promising results. It has been observed that when compared with standard COCOMO it gives better results.

Keywords

Human opinion dynamics COCOMO MARE Social influence Update rule 

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Department of Computer Science EngineeringChandigarh UniversityChandigarhIndia

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