Software defect prediction based on nested-stacking and heterogeneous feature selection

L Chen, C Wang, S Song - Complex & Intelligent Systems, 2022 - Springer
Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …

An Ensemble Model for Software Defect Prediction

AR Ali, AU Rehman, A Nawaz, TM Ali… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Software testing is one of the important ways to ensure the quality of software. It is found that
testing cost more than 50% of overall project cost. Effective and efficient software testing …

A comparison of semi-supervised classification approaches for software defect prediction

C Catal - Journal of Intelligent Systems, 2014 - degruyter.com
Predicting the defect-prone modules when the previous defect labels of modules are limited
is a challenging problem encountered in the software industry. Supervised classification …

[PDF][PDF] Combining particle swarm optimization based feature selection and bagging technique for software defect prediction

RS Wahono, N Suryana - … Journal of Software Engineering and Its …, 2013 - academia.edu
The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …

An improved software defect prediction algorithm using self-organizing maps combined with hierarchical clustering and data preprocessing

N Shakhovska, V Yakovyna, N Kryvinska - International Conference on …, 2020 - Springer
An improved software defects prediction algorithm based on combination of Kohonen map
and hierarchical clustering is presented in this paper. The need for software reliability …

Software defect prediction based on ensemble learning

R Li, L Zhou, S Zhang, H Liu, X Huang… - Proceedings of the 2019 …, 2019 - dl.acm.org
Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …

The comparison of feature selection methods in software defect prediction

A Adorada, PW Wirawan… - 2020 4th International …, 2020 - ieeexplore.ieee.org
One of the goal in software testing is to discover software defects before the software is used
by customer. Successful software testing leads to high quality software. However, exposing …

[PDF][PDF] A novel feature selection method based on maximum likelihood logistic regression for imbalanced learning in software defect prediction.

K Bashir, T Li, M Yahaya - Int. Arab J. Inf. Technol., 2020 - iajit.org
The most frequently used machine learning feature ranking approaches failed to present
optimal feature subset for accurate prediction of defective software modules in out-of-sample …

Examining the performance of kernel methods for software defect prediction based on support vector machine

M Azzeh, Y Elsheikh, AB Nassif, L Angelis - Science of Computer …, 2023 - Elsevier
Abstract Support Vector Machine (SVM) has been widely used to build software defect
prediction models. Prior studies compared the accuracy of SVM to other machine learning …

A PROMETHEE based evaluation of software defect predictors

RG Jimoh, AO Balogun, AO Bajeh, S Ajayi - Journal of Computer Science …, 2018 - ajol.info
A software defect is an error, flaw, mistake, or fault in a computer program or system that
produces incorrect or unexpected results and the process of locating defective modules in …