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All Journal Journal of Information Technology and Computer Science Arus Jurnal Sosial dan Humaniora Educenter: Jurnal Ilmiah Pendidikan EDUCENTER JURNAL PENDIDIKAN
Dinda Novitasari, Dinda
Brawijaya University
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Journal : Journal of Information Technology and Computer Science

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Optimizing SVR using Local Best PSO for Software Effort Estimation Novitasari, Dinda; Cholissodin, Imam; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 1 No. 1: June 2016
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.339 KB) | DOI: 10.25126/jitecs.2016117

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
Co-Authors Dewi Agustina Gunawan, Agung Arif Imam Cholissodin Nurrahmah, Aulia Putri Alisya, Eka Wayan Firdaus Mahmudy Zamhari, Ahmad