Early detection of defective software components enables verification experts give much
time and allocate scare resources to the problem areas of the system under development …

Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

This research work investigates the deployment of data sampling and ensemble techniques
in alleviating the class imbalance problem in software defect prediction (SDP). Specifically …

In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …

Defects occurring in software product are a universal event. Prevention of these defects in
the early stage needs more attention because early stage prevention and fixing requires …

Software defect prediction is a crucial software project management activity to enhance the
software quality. It aids the development team to forecast about which modules need extra …

In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …

Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …

Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …