Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Gusti Agung Ramananda Wira Dharma
Unknown Affiliation
Computer Science & IT Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengaruh Penanganan Ketidakseimbangan Kelas pada Prediksi Cacat Perangkat Lunak dengan Teknik Oversampling I Gusti Agung Ramananda Wira Dharma; I Wayan Santiyasa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v03.i01.p17

Abstract

Software defect prediction plays a vital role in SDLC testing by identifying modules prone to defects. However, imbalanced class distributions, where defect (minority) samples are outnumbered by non-defect ones, can hinder model performance. This study investigates the impact of oversampling techniques (SMOTE, ADASYN) on Naive Bayes classification for defect prediction. While the base Naive Bayes model achieved good overall accuracy (83%), it struggled with defect class recall (30%). Applying SMOTE and ADASYN improved recall (40% and 38%, respectively) but slightly lowered accuracy (77% and 80%). Future work will explore feature selection and deep learning approaches for potentially better performance. 
Co-Authors I WAYAN SANTIYASA