Research on software defect prediction method based on machine learning

W Zhang, ZY Ma, QL Lu, XB Nie… - Applied Mechanics and …, 2014 - Trans Tech Publ
This paper analyzed 44 metrics of application level, file level, class level and function level,
and do correlation analysis with the number of software defects and defect density, the …

[PDF][PDF] A proposed model for detecting defects in software projects

AN Mahmoud, A Abdelaziz, V Santos… - Indonesian Journal of …, 2024 - novaresearch.unl.pt
Defective modules that cause software execution failures are common in large software
projects. Source code for a significant number of modules may be found in several software …

Metrics Based Feature Selection for Software Defect Prediction

RA Nugroho, F Abadi, MR Faisal… - Jurnal …, 2020 - komputasi.fmipa.unila.ac.id
Nowadays, software is very influential on various sectors of life, both to solve business
needs, as well as personal needs. To have a Software with high quality, testing is needed to …

Software defect prediction using random forest algorithm

YN Soe, PI Santosa, R Hartanto - 2018 12th South East Asian …, 2018 - ieeexplore.ieee.org
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 development of good …

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 …

Parameter tuning in KNN for software defect prediction: an empirical analysis

MA Mabayoje, AO Balogun, HA Jibril… - Jurnal Teknologi dan …, 2019 - jtsiskom.undip.ac.id
Abstract Software Defect Prediction (SDP) provides insights that can help software teams to
allocate their limited resources in developing software systems. It predicts likely defective …

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 …

Software defect prediction analysis using machine learning techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking

MR Kusuma, W Gata, S Kurniawan… - Inspiration: Jurnal …, 2023 - ojs.unitama.ac.id
This research aims to improve the software quality and effectiveness of zakat management
by the National Amil Zakat Agency (BAZNAS) through the development of a software defect …

The impact of software metrics in NASA metric data program dataset modules for software defect prediction

AAP Ramadhani, RA Nugroho… - TELKOMNIKA …, 2024 - telkomnika.uad.ac.id
This paper discusses software metrics and their impact on software defect prediction values
in the NASA metric data program (MDP) dataset. The NASA MDP dataset consists of four …