Background: Software defect prediction models aim at identifying the potential faulty
modules of a software project based on historical data collected from previous versions of …

Objectives: To propose a suitable imbalanced data classification model to split the dataset
into two new datasets and to test the created imbalanced dataset by the prediction models …

Cross-project defect prediction (CPDP) aims to predict software defects in a target project
domain by leveraging information from different source project domains, allowing testers to …

Malware affects the software system and may lead to server failure. It is required to detect
the malicious software accurately to avoid the time and cost wastage. Various research …

The need for computers increased quickly. As a result, the program is utilized in a significant
and intricate manner. More complex systems are being developed by software businesses …

The Detection of malicious software commonly known as malware that gets into the system
without user consent to steal private and confidential data of the user that includes bank …

Defect prediction models play a crucial role in software engineering by aiding in the
identification and prevention of defects before they impact the software's reliability and …

The article discusses the industry adoption and best practices in defect prediction models,
emphasizing their integration, collaboration, explain ability, continuous improvement, and …