Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

Customer churn is a critical issue impacting enterprises and organizations, particularly in the
emerging and highly competitive telecommunications industry. It is important to researchers …

The adverse effects of website phishing attacks are often damaging and dangerous as the
information gathered from unsuspecting users are used inappropriately and recklessly …

Anomaly detection in high dimensional data is a critical research issue with serious
implication in the real-world problems. Many issues in this field still unsolved, so several …

Class imbalance is a prevalent problem in machine learning which affects the prediction
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …

Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …

The development of most modern software systems is accompanied by a significant level of
uncertainty, which can be attributed to the unanticipated activities that may occur throughout …

As a result of the rapid advancement of mobile and internet technology, a plethora of new
mobile security risks has recently emerged. Many techniques have been developed to …

High dimensionality is a data quality problem that negatively influences the predictive
capabilities of prediction models in software defect prediction (SDP). As a viable solution …

Compute resources that enable Continuous Integration (CI, ie, the automatic build and test
cycle applied to the change sets that development teams produce) are a shared commodity …