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 …

Software defect prediction (SDP) plays a vital role in enhancing the quality of software
projects and reducing maintenance-based risks through the ability to detect defective …

Software defects are a critical issue in software development that can lead to system failures
and cause significant financial losses. Predicting software defects is a vital aspect of …

Software bugs (or malfunctions) pose a serious threat to software developers with many
known and unknown bugs that may be vulnerable to computer systems, demanding new …

The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on
machine learning algorithms in detecting distributed denial of service (DDoS) attacks. This …

Software systems have grown significantly and in complexity. As a result of these qualities,
preventing software faults is extremely difficult. Software defect prediction (SDP) can assist …

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 …

Distributed denial of service (DDoS) attack detection methods based on the clustering
method are ineffective in detecting attacks correctly. Service interruptions caused by DDoS …

Software Defect Prediction (SDP) is critical to ensure product reliability and customer
satisfaction. Many studies conducted to predict defective modules in the software …

Computational intelligence represents a collection or set of computational techniques in soft
computing, machine learning, and some engineering disciplines, which investigate …