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 build an effective prediction model for historical
defect data from software repositories by some specialized techniques or algorithms, and …

Software defect prediction can detect modules that may have defects in advance and
optimize resource allocation to improve test efficiency and reduce development costs …

Software defect prediction aims to find a reliable method for predicting defects in a particular
software project and assisting software engineers in allocating limited resources to release …

Software defect prediction approaches play an essential role in the software development
life cycle to help developers predict defects early, thus, preventing wasted time and effort …

Software defect prediction plays a significant role in the software development cycle but
suffers from many difficulties. In this paper we propose a novel deep learning model …

With the growing complexity of modern software, the expense of improving software
reliability becomes significant. To reduce costs, Software Defect Prediction (SDP) was …

Software defect prediction (SDP) methodology could enhance software's reliability through
predicting any suspicious defects in its source code. However, developing defect prediction …

Software defect prediction is considered as most interesting area for researchers in the field
of software engineering. This process of defect prediction, identifies the bug during …

Defect prediction forecasts defect proneness or the number of defects contained in software
systems. It is frequently employed to efficiently prioritize and allocate the limited testing …