Predicted of Software Fault Based on Random Forest and K-Nearest Neighbor

MZ Mohammed, IA Saleh - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
Software systems have gotten increasingly complicated and adaptable in today's computer
world. As a result, it's critical to track down and fix software design flaws on a regular basis …

Feature Selection Using Firefly Algorithm with Tree-Based Classification in Software Defect Prediction

V Maulida, R Herteno, D Kartini, F Abadi… - Journal of Electronics …, 2023 - jeeemi.org
Defects that occur in software products are a universal occurrence. Software defect
prediction is usually carried out to determine the performance, accuracy, precision and …

Memprediksi Waktu Memperbaiki Bug dari Laporan Bug Menggunakan Klasifikasi Random Forest

NF Azhar, S Rochimah - Jurnal Sistem dan Informatika (JSI), 2016 - jsi.stikom-bali.ac.id
Pengembang perangkat lunak harus memiliki rencana dalam pengaturan biaya
pengembangan perangkat lunak. Perbaikan perangkat lunak dalam fase pemeliharaan …

Optimasi Metode K-Nearest Neighbours dengan Backward Elimination Menggunakan Dataset Software Effort Estimation

W Nugroho - Bianglala Informatika, 2020 - ejournal.bsi.ac.id
Klasifikasi banyak digunakan untuk menentukan keputusan sesuai pengetahuan baru yang
didapat dari pengolahan data lampau menggunakan perhitungan suatu algoritma. Metode …

Evaluation of LMT and DNN algorithms in software defect prediction for open-source software

SA Alazawi, MNA Salam - Research in Intelligent and Computing in …, 2021 - Springer
Software defect prediction has achieved considerable salability in the last years. Defect
prediction is the first important step in dependability assessment of complex software …

[PDF][PDF] Software Defect Prediction System Based on Well-Tuned Random Forest Technique

Q Saihood, FH Khorsheed, NJ Ibrahim - researchgate.net
Software quality is the main criterion for increasing user demand for software. Therefore,
software companies seek to ensure software quality by predicting software defects in the …

Penyelidikan Akademis Tentang Pengukuran Kualitas: Penerapan Model ISO 9126 pada Perangkat Lunak Aplikasi Deteksi Kerusakan Mangga

NH Kafi, A Rachman, RR Muhima… - Prosiding Seminar …, 2024 - ejournal.itats.ac.id
Suatu perangkat lunak dikatakan baik jika kebutuhan customer atau pelanggan sudah
terpenuhi. Perangkat lunak atau software merupakan proses pengembangan aplikasi …

UJI KUALITAS PERANGKAT LUNAK APLIKASI MOBILE SEKAONE BERDASARKAN DROMEY MODEL MENGGUNAKAN METODE PERHITUNGAN PROFILE …

I Romadloni, HD Saputra, R Purbaningtyas… - JATI (Jurnal …, 2024 - ejournal.itn.ac.id
Teknologi di Indonesia saat ini sudah berkembang yang menyebabkan mudahnya untuk
berpromosi dan menyebarkan informasi. Salah satu alternatif dari masalah tersebut adalah …

Research of software defect prediction model based on complex network and graph neural network

M Cui, S Long, Y Jiang, X Na - Entropy, 2022 - mdpi.com
The goal of software defect prediction is to make predictions by mining the historical data
using models. Current software defect prediction models mainly focus on the code features …

[PDF][PDF] The Effectiveness of the Combination of Filter and Wrapper Feature Selection Methods to Improve Software Fault Prediction

F Alighardashi, MAZ Chahooki - TABRIZ JOURNAL OF …, 2017 - tjee.tabrizu.ac.ir
Improving the software product quality before releasing by periodic tests is one of the most
expensive activities in software projects. Due to limited resources to test modules in software …