Abstract Unmanned Aerial Vehicles (UAVs) have evolved into a pivotal component of
electronic devices deployed across a diverse array of sectors and industries in recent years …

Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …

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 …

Abstract Cross-Project Defect Prediction (CPDP) is an attractive topic for locating defects in
projects with little labeled data (target projects) by using the prediction model from other …

Handling high-dimensional medical data presents a significant challenge. Numerous
irrelevant and redundant features impede the construction of high-precision models …

Current single feature selection algorithms have certain limitations when it comes to
effectively addressing challenges presented by various tasks and data contexts. As a result …

Existing material identification for loose particles inside sealed relays focuses on the
selection and optimization of classification algorithms, which ignores the features in the …

With the growing rate of software systems and their applications in diverse walks of life,
develo** a software system that has no defects is a subject that cannot be …

In the context of increasing data scale, contemporary optimization algorithms struggle with
cost and complexity in addressing the feature selection (FS) problem. This paper introduces …

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 …