Software defects prediction using machine learning algorithms
Software development and the maintenance life cycle are lengthy processes. However, the
possibility of having defects in the software can be high. Software reliability and performance …
possibility of having defects in the software can be high. Software reliability and performance …
Prediction of software defects using automated machine learning
The effectiveness of defect prediction depends on modeling techniques as well as their
parameter optimization, data preprocessing and ensemble development. This paper focuses …
parameter optimization, data preprocessing and ensemble development. This paper focuses …
Software defect prediction using ensemble learning on selected features
Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …
[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques
SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …
researchers. Moreover the classifier ensemble can effectively improve classification …
An improved cnn-based architecture for within-project software defect prediction
R Malohtra, HS Yadav - … Computing and Signal Processing: Proceedings of …, 2021 - Springer
To improve the software quality, the software is generally tested to find out any bugs or a
simple reliability test. A reliable software defect checking mechanism is a leading research …
simple reliability test. A reliable software defect checking mechanism is a leading research …
Machine learning-based defect prediction model using multilayer perceptron algorithm for escalating the reliability of the software
When it comes to software development, precise planning, proper documentation and
proper process control, some errors are inevitable in the software environment. These …
proper process control, some errors are inevitable in the software environment. These …
Neural network parameter optimization based on genetic algorithm for software defect prediction
Software fault prediction approaches are much more efficient and effective to detect software
faults compared to software reviews. Machine learning classification algorithms have been …
faults compared to software reviews. Machine learning classification algorithms have been …
Empirical investigation of hyperparameter optimization for software defect count prediction
M Nevendra, P Singh - Expert Systems with Applications, 2022 - Elsevier
Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …
resources efficiently. Defect prediction techniques are helpful for this situation because they …
An empirical study toward dealing with noise and class imbalance issues in software defect prediction
SK Pandey, AK Tripathi - Soft Computing, 2021 - Springer
The quality of the defect datasets is a critical issue in the domain of software defect
prediction (SDP). These datasets are obtained through the mining of software repositories …
prediction (SDP). These datasets are obtained through the mining of software repositories …
Software defect prediction based on Bayesian optimization random forest
Y Shen, S Hu, S Cai, M Chen - 2022 9th international …, 2022 - ieeexplore.ieee.org
Software defect prediction is an important way to make rational use of software testing data
resources and improve software performance. However, people have used a variety of …
resources and improve software performance. However, people have used a variety of …