Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

Abstract Software Defect Prediction (SDP) is an advanced technological method of
predicting software defects in the software development life cycle. Various research works …

Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …

Software defect prediction refers to the automatic identification of defective parts of software
through machine learning techniques. Ensemble learning has exhibited excellent prediction …

Accurately predicting faulty software units helps practitioners target faulty units and prioritize
their efforts to maintain software quality. Prior studies use machine-learning models to detect …

The software project model needs a defect prediction model to find defect‐prone file
software systems. The fault‐prone model prediction, predicting bugs, and bug removal can …

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 …

Software defect prediction (SDP) is critical in guaranteeing software cost reduction and
quality improvement while building a software system. Thus, software defect prediction in the …

Two primary issues have emerged in the machine learning and data mining community: how
to deal with imbalanced data and how to choose appropriate features. These are of …

Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …