Software defect identification (SDI) is a key part of improving the quality of software projects
and lowering the risks that along with maintenance. It does identify the software defect …

The goal of software defect prediction is to make predictions by mining the historical data
using models. Current software defect prediction models mainly focus on the code features …

Software defect prediction is critical to ensuring software quality. Researchers have worked
on building various defect prediction models to improve the performance of defect …

Software defect prediction (SDP) aims to develop predictive techniques that identify software
modules' default proneness using structural and quality attributes. The use of randomized …

Software defect pose significant challenges in the development and maintenance of
software systems, leading to increased costs and potential quality issues. In this research …

The purpose of software defect prediction is to identify defect-prone code modules to assist
software quality assurance teams with the appropriate allocation of resources and labor. In …

Software defect prediction is a research hotspot in the field of software engineering.
However, due to the limitations of current machine learning algorithms, we can't achieve …

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 …