Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

Software defect prediction is aimed to find potential defects based on historical data and
software features. Software features can reflect the characteristics of software modules …

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

The main idea of this thesis is to give a general overview of the processes within the
software defect prediction models using machine learning classifiers and to provide analysis …

The quality of the defect datasets is a critical issue in the domain of software defect
prediction (SDP). These datasets are obtained through the mining of software repositories …

The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …

Software Defect Prediction (SDP) is critical to ensure product reliability and customer
satisfaction. Many studies conducted to predict defective modules in the software …

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 …

Context: Software defect prediction (SDP) models help in delivering a dependable and a
genuine product to the clients. However, the performance of these models is affected by the …

Traditionally software metrics have been used to define the complexity of the program, to
estimate programming time. Extensive research has also been carried out to predict the …