Software systems have become larger and more complex than ever. Such characteristics
make it very challengeable to prevent software defects. Therefore, automatically predicting …

Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …

In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

defect prediction (SDP) is process of identifying software defect on the early testing stage of
SDLC. SDP can saving time software tester on the development process. There are some …

Software practitioners are continuing to build advanced software defect prediction (SDP)
models to help the tester find fault-prone modules. However, the Class Imbalance (CI) …

Software systems are driving the quality of human life. Annual investment in software
systems development is exceeding 4 trillion USD. Given the increasing complexity of …

Quality and security are major concerns in largescale software development. The early
prediction of defective modules is becoming an important aspect in large-scale software …

Software system quality can be enhanced by reducing the possible software defects in the
system, this can be achieved by regular monitoring of the system for any defect alerts …

Software defect prediction is very important in software engineering. It uses the defects
found in historical software modules to predict defects in new software modules, and …

Abstract Software Defect Prediction (SDP) is a major research field in the software
development life cycle. The accurate SDP would assist software developers and engineers …