Software defects may cause severe crashes in the system, leading to the software's high
maintenance costs. Early identification of these defects would lead to high-quality software …

Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …

Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …

To address the challenges associated with the abundance of features in software datasets,
this study proposes a novel hybrid feature selection method that combines quantum particle …

Software defect prediction models are used for predicting high risk software components.
Feature selection has significant impact on the prediction performance of the software defect …

Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …

Machine learning is an effective method for software defect prediction. The performance of
learning models can be affected by irrelative and redundant features. Feature selection …

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 …

In this digital world, using software has become an important part of daily life and business.
The software must be rigorously tested in order to avert a financial crisis. The defect-free …

Detecting software defects before they occur is crucial in software engineering as it impacts
software system quality and reliability. Previous studies on predicting software defects have …