Journal of Information Technology and Computer Science
Vol. 1 No. 1: June 2016

Optimizing SVR using Local Best PSO for Software Effort Estimation

Dinda Novitasari (Brawijaya University)
Imam Cholissodin (Brawijaya University)
Wayan Firdaus Mahmudy (Universitas Brawijaya)

Article Info

Publish Date
16 Apr 2016

Abstract

Abstract. In the software industry world, it’s known to fulfill the tremendous demand. Therefore, estimating effort is needed to optimize the accuracy of the results, because it has the weakness in the personal analysis of experts who tend to be less objective. SVR is one of clever algorithm as machine learning methods that can be used. There are two problems when applying it; select features and find optimal parameter value. This paper proposed local best PSO-SVR to solve the problem. The result of experiment showed that the proposed model outperforms PSO-SVR and T-SVR in accuracy. Keywords: Optimization, SVR, Optimal Parameter, Feature Selection, Local Best PSO, Software Effort Estimation

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Journal Info
Journal of Information Technology and Computer Science
Website

Abbrev

jitecs

Publisher

Universitas Brawijaya

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information ...