Purpose Software defect prediction (SDP) is a critical aspect of software quality assurance,
aiming to identify and manage potential defects in software systems. In this paper, we have …

In the software maintenance and development process, the software bug detection is an
essential problem because it related with the complete software successes. So, the earlier …

Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

There is a severe class imbalance problem in defect datasets, with nondefective data
dominating the distribution, making it easy to generate inaccurate software defect prediction …

To improve the early detection of Chronic Kidney Disease (CKD) utilizing electrocardiogram
(ECG) data, this study explores the use of the Optimized Forest (Opt-Forest) model …

Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

The increasing complexity of software projects makes it difficult to predict risks in software
requirements, which is a crucial and essential part of the Software Development Life Cycle …

Software stands out as one of the most rapidly evolving technologies in the present era,
characterized by its swift expansion in both scale and complexity, which leads to challenges …

Labeling a module defective or non-defective is an expensive task. Hence, there are often
limits on how much-labeled data is available for training. Semi-supervised classifiers use far …