Software Defect Prediction (SDP) is an approach used for identifying defect-prone software
modules or components. It helps software engineer to optimally, allocate limited resources to …

Abstract The performance of Software Defect Prediction (SDP) models depends on the
quality of dataset used for training the models. The high dimensionality of software metric …

The high dimensionality of software metric features has long been noted as a data quality
problem that affects the performance of software defect prediction (SDP) models. This …

Software defect prediction models are used for predicting high risk software components.
Feature selection has significant impact on the prediction performance of the software defect …

Software Defect Prediction (SDP) models are built using software metrics derived from
software systems. The quality of SDP models depends largely on the quality of software …

Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …

In the Software development life cycle (SDLC) the prediction of software defects is one of the
crucial parts. Recent years have witnessed various studies for predicting software defects …

In software defect prediction, noisy attributes and high-dimensional data remain to be a
critical challenge. This paper introduces a novel approach known as multi correlation-based …

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 …

Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …