Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

Context: In practice, software datasets tend to have more non-defective instances than
defective ones, which is referred to as the class imbalance problem in software defect …

Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …

In software fault prediction systems, there are many hindrances for detecting faulty modules,
such as missing values or samples, data redundancy, irrelevance features, and correlation …

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 …

The traditional PCB defect on-line detection has the problems of long detection time and
poor accuracy of detection results. Therefore, a key technology of PCB defect online …

Attack graph-based methods are a promising approach towards discovering attacks and
various techniques have been proposed recently. A key limitation, however, is that …

Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …

Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …