[PDF][PDF] SOFTWARE DEFECT PREDICTION DENGAN RANDOM OVER SAMPLING DAN RANDOM FOREST LEARNING

TAA Sandi - repository.bsi.ac.id
Puji Nama Tuhan, dengan mengucapkan puji syukur kehadirat Tuhan Yang Maha Esa yang
telah melimpahkan hikmat marifat dan karunia-Nya, sehingga pada akhirnya penulis dapat …

Integration of feature selection with data level approach for software defect prediction

A Suryadi - Sinkron: jurnal dan penelitian teknik informatika, 2019 - jurnal.polgan.ac.id
The dataset of software metrics in general are not balanced (unbalanced). An imbalance
distribution of classes and attributes that are not relevant may decrease the performance of …

Integrasi Metode Resampling Dan K-Nearest Neighbor Pada Prediksi Cacat Softwar Aplikasi Android

R Siringo-ringo - Journal Information System Development …, 2017 - ejournal-medan.uph.edu
Efects are actual errors that can be found in the software. The existence of defects can make
the software does not work optimally even crashes. The existence of defect is something that …

[PDF][PDF] Prediksi Code Defect Perangkat Lunak Dengan Metode Association Rule Mining dan Cumulative Support Thresholds

RS Perdana, UL Yuhana - Jurnal Buana Informatika, 2015 - ojs.uajy.ac.id
Kualitas perangkat lunak merupakan salah satu penelitian pada bidang rekayasa perangkat
lunak yang memiliki peranan yang cukup besar dalam terbangunnya sistem perangkat …

Penanganan Data Tidak Seimbang Menggunakan Hybrid Method Resampling Pada Algoritma Naive Bayes Untuk Software Defect Prediction

M Lutfi, AT Arsanto, MF Amrulloh… - INFORMAL: Informatics …, 2023 - jurnal.unej.ac.id
Software defect prediction is software data that is used to identify a software module and can
also be used to predict software defects. Before carrying out further trials, it is necessary to …

Effect of Hyperparameter Tuning Using Random Search on Tree-Based Classification Algorithm for Software Defect Prediction

MH Rizky, MR Faisal, I Budiman, D Kartini… - … (Indonesian Journal of … - journal.ugm.ac.id
The field of information technology requires software, which has significant issues. Quality
and reliability improvement needs damage prediction. Tree-based algorithms like Random …

Integrasi SMOTE pada Naive Bayes dan Logistic Regression Berbasis Particle Swarm Optimization untuk Prediksi Cacat Perangkat Lunak

A Hardoni, DP Rini, S Sukemi - Jurnal Media …, 2021 - ejurnal.stmik-budidarma.ac.id
Software defects are one of the main contributors to information technology waste and lead
to rework, thus consuming a lot of time and money. Software defect prediction has the …

Integrasi Teknik Smote Bagging Dengan Information Gain Pada Naive Bayes Untuk Prediksi Cacat Software

SA Putri - JITK (Jurnal Ilmu Pengetahuan dan …, 2017 - ejournal.nusamandiri.ac.id
The prediction accuracy of defects in code can help direct the test effort, reduce costs and
improve software quality. Until now, many researchers have applied various types of …

Pendekatan Level Data untuk Menangani Ketidakseimbangan Kelas pada Prediksi Cacat Software

A Saifudin, RS Wahono - IlmuKomputer. com Journal of Software …, 2015 - neliti.com
Dataset software metrics secara umum bersifat tidak seimbang, hal ini dapat menurunkan
kinerja model prediksi cacat software karena cenderung menghasilkan prediksi kelas …

[PDF][PDF] A Comparison of Naïve Bayes and Random Forest for Software Defect Prediction

YN Soe, KK Oo - 2018 - meral.edu.mm
The software defect can cause the unnecessary effects on the software such as cost and
quality. The prediction of the software defect can be useful for the developing of good quality …