Using bandit algorithms for selecting feature reduction techniques in software defect prediction

M Tsunoda, A Monden, K Toda, A Tahir… - Proceedings of the 19th …, 2022 - dl.acm.org
Background: Selecting a suitable feature reduction technique. when building a defect
prediction model, can be challenging. Different techniques can result in the selection of …

Software defect prediction techniques using metrics based on neural network classifier

R Jayanthi, L Florence - Cluster Computing, 2019 - Springer
Software industries strive for software quality improvement by consistent bug prediction, bug
removal and prediction of fault-prone module. This area has attracted researchers due to its …

Software defect prediction using over-sampling and feature extraction based on Mahalanobis distance

MM NezhadShokouhi, MA Majidi… - The Journal of …, 2020 - Springer
As the size of software projects becomes larger, software defect prediction (SDP) will play a
key role in allocating testing resources reasonably, reducing testing costs, and speeding up …

Majority vote feature selection algorithm in software fault prediction

E Borandag, A Ozcift, D Kilinc… - Computer Science and …, 2019 - doiserbia.nb.rs
Identification and location of defects in software projects is an important task to improve
software quality and to reduce software test effort estimation cost. In software fault prediction …

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 …

Ensembles based combined learning for improved software fault prediction: A comparative study

CW Yohannese, T Li, M Simfukwe… - … on intelligent systems …, 2017 - ieeexplore.ieee.org
Software Fault Prediction (SFP) research has made enormous endeavor to accurately
predict fault proneness of software modules to maximize precious software test resources …

A comparative analysis for machine learning based software defect prediction systems

M Cetiner, OK Sahingoz - 2020 11th International Conference …, 2020 - ieeexplore.ieee.org
In the Software Engineering concept, the prediction of the software defects plays a vital role
in increasing the quality of the software systems, which is one of the most critical and …

[HTML][HTML] Software bug prediction using weighted majority voting techniques

S Moustafa, MY ElNainay, N El Makky… - Alexandria engineering …, 2018 - Elsevier
Mining software repositories is a growing research field where rich data available in the
different development software repositories, are analyzed and cross-linked to uncover useful …

Software defect prediction using stacking generalization of optimized tree-based ensembles

A Alazba, H Aljamaan - Applied Sciences, 2022 - mdpi.com
Software defect prediction refers to the automatic identification of defective parts of software
through machine learning techniques. Ensemble learning has exhibited excellent prediction …

Feature selection using firefly algorithm in software defect prediction

M Anbu, GS Anandha Mala - Cluster Computing, 2019 - Springer
Defects occurring in software product are a universal event. Prevention of these defects in
the early stage needs more attention because early stage prevention and fixing requires …