As the size of software projects becomes larger, software defect prediction (SDP) will play a
key role in allocating testing resources reasonably, reducing testing costs, and speeding up …

Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

Context: Software defect number prediction (SDNP) helps allocate limited testing resources
by ranking software modules according to the predicted defect numbers. However, the …

An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …

Defect prediction is an important activity to make software testing processes more targeted
and efficient. Many methods have been proposed to predict the defect-proneness of …

In the current stage, software defect prediction is suffering the imbalanced data problem.
Traditional methods are insensitive to defect-prone modules and tend to predict defect …

With the continuous development of Internet technology, the role of software in life is
increasing, and software defect prediction (SDP) is a key means to ensure software …

Background and aim: Many sophisticated data mining and machine learning algorithms
have been used for software defect prediction (SDP) to enhance the quality of software …

Abstract Software Defect Prediction (SDP) is an advanced technological method of
predicting software defects in the software development life cycle. Various research works …

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 …