[PDF][PDF] Feature selection using decision tree induction in class level metrics dataset for software defect predictions
The importance of software testing for quality assurance cannot be over emphasized. The
estimation of quality factors is important for minimizing the cost and improving the …
estimation of quality factors is important for minimizing the cost and improving the …
[HTML][HTML] Reliable prediction of software defects using Shapley interpretable machine learning models
Predicting defect-prone software components can play a significant role in allocating
relevant testing resources to fault-prone modules and hence increasing the business value …
relevant testing resources to fault-prone modules and hence increasing the business value …
[HTML][HTML] Software bug prediction using weighted majority voting techniques
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 …
different development software repositories, are analyzed and cross-linked to uncover useful …
Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm
A Balaram, S Vasundra - Automated Software Engineering, 2022 - Springer
The process of predicting fault module in software is known as Software Fault Prediction
(SFP) which is important for releasing software versions that are dependent on the …
(SFP) which is important for releasing software versions that are dependent on the …
Prediction of defective software modules using class imbalance learning
Software defect predictors are useful to maintain the high quality of software products
effectively. The early prediction of defective software modules can help the software …
effectively. The early prediction of defective software modules can help the software …
Combining integreted sampling technique with feature selection for software defect prediction
SA Putri - 2017 5th International Conference on Cyber and IT …, 2017 - ieeexplore.ieee.org
Good quality software is a supporting factor that is important in any line of work in of society.
But the software component defective or damaged resulting in reduced performance of the …
But the software component defective or damaged resulting in reduced performance of the …
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 …
[PDF][PDF] Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System.
The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …
limited resources. Detecting defects before the testing stage of software development can …
Software defect prediction: do different classifiers find the same defects?
During the last 10 years, hundreds of different defect prediction models have been
published. The performance of the classifiers used in these models is reported to be similar …
published. The performance of the classifiers used in these models is reported to be similar …
A set of measures designed to identify overlapped instances in software defect prediction
The performance of the learning models will intensely rely on the characteristics of the
training data. The previous outcomes recommend that the overlapping between classes and …
training data. The previous outcomes recommend that the overlapping between classes and …