Applying Variant Variable Regularized Logistic Regression for Modeling Software Defect Predictor

SM Angolo, GK Armah, G Luo, K Qin - 2016 - repository.seku.ac.ke
Empirical studies on software defect prediction mod els have come up with various
predictors. In this study we examined variable regularized factors in conjunction with Logistic …

Prediction of defects in software using machine learning classifiers

A Arya, S Kumar, V Singh - … and Data Engineering: Proceedings of ICMDE …, 2020 - Springer
Abstract The Software Defect Prediction (SDP) model engages in predicting defects and
bugs in the software. This model will detect and predict bugs during early stages of the …

[PDF][PDF] Software Fault Prediction: A Systematic Mapping Study.

J Murillo-Morera, C Quesada-López, M Jenkins - CIbSE, 2015 - eventos.spc.org.pe
Context: Software fault prediction has been an important research topic in the software
engineering field for more than 30 years. Software defect prediction models are commonly …

[PDF][PDF] Implementation of Data Level Approach Techniques to Solve Unbalanced Data Case on Software Defect Classification

H Rahardian, MR Faisal… - Journal of …, 2020 - download.garuda.kemdikbud.go.id
Defects can cause significant software rework, delays, and high costs, to prevent disability it
must be predictable the possibility of defects. To predict the disability the metrics software …

[引用][C] Software Defects Prediction based on ANN and Fuzzy logic using Software Metrics

TR Kumar, TS Rao - International Journal of Applied Engineering Research, 2017

Hybrid sampling and random forest based machine learning approach for software defect prediction

MA Hossen, MS Islam, NAT Yusof, MS Rahman… - … : Proceedings of the 5th …, 2020 - Springer
The software has turn into an imperious part of human's life. In the recent computing era,
many large-scale complex network systems and millions of modern technological devices …

Software Defect Prediction Framework Using Hybrid Software Metric

A Zaim, J Ahmad, NH Zakaria, GE Su… - JOIV: International Journal …, 2022 - joiv.org
Software fault prediction is widely used in the software development industry. Moreover,
software development has accelerated significantly during this epidemic. However, the main …

Comparative analysis of statistical and machine learning methods for predicting faulty modules

R Malhotra - Applied Soft Computing, 2014 - Elsevier
The demand for development of good quality software has seen rapid growth in the last few
years. This is leading to increase in the use of the machine learning methods for analyzing …

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] 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 …