Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

Software Defect Prediction (SDP) is crucial for enhancing software quality and minimizing
issues after release. The advent of machine learning, particularly in Cross-Project Defect …

There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

Automatic software fault detection and repair is made possible by autonomic software
recovery. By incorporating this function, the software will run more efficiently and …

The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …

In the medical profession, recent technological advancements play an essential role in the
early detection and categorization of many diseases that cause mortality. The technique …

One of the most important quality indicators of a software product is its defect rates. In this
regard and also with the proliferation in methods and tools supporting prediction in software …

Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

The performance of software defect prediction (SDP) models determines the priority of test
resource allocation. Researchers also use interpretability techniques to gain empirical …

The Software Defect Prediction (SDP) method forecasts the occurrence of defects at the
beginning of the software development process. Early fault detection will decrease the …