Rank-oriented software defect prediction (ROSDP) aims to establish a model to predict the
testing priority of software modules according to defect severity for the reasonable allocation …

High dimensionality is a data quality problem that negatively influences the predictive
capabilities of prediction models in software defect prediction (SDP). As a viable solution …

Software testing guarantees the delivery of high-quality software products, and software
defect prediction (SDP) has become an important part of software testing. Software defect …

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

In software defect prediction, unbalanced data poses a substantial obstacle due to the
considerably lesser count of corrupted instances in comparison to non-damaged instances …

Context: Software defect prediction (SDP) models help in delivering a reliable and a value
based product to the clients. However, the performance of these models is influenced by the …

The purpose of software defect prediction is to improve the quality of a software project by
building a predictive model to decide whether a software module is or is not fault prone. In …

Abstract Software Defect Prediction (SDP) is an important method to analyze software
quality and reduce development cost. Data from software life cycle has been widely used to …

Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …