Software defect prediction is the process of developing predictive models that helps in the
early identification of defect-prone modules based on software metrics and defect data. It …

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) …

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

Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …

The performance of prediction models in software defect prediction depends on the quality
of datasets used for training such models. Class imbalance is one of data quality problems …

Abstract Software Defect Prediction (SDP) provides insights that can help software teams to
allocate their limited resources in developing software systems. It predicts likely defective …

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 …

With the variety of different filter methods, selecting the most appropriate filter method which
gives the best performance is a difficult task. Filter rank selection and stability problems …

Spamming is one of the challenging problems within social networks which involves
spreading malicious or scam content on a network; this often leads to a huge loss in the …

Background: Software Defect Prediction (SDP) is a vital step in software development. SDP
aims to identify the most likely defect-prone modules before starting the testing phase, and it …