Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …

The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …

Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …

Software testing using software defect prediction aims to detect as many defects as possible
in software before the software release. This plays an important role in ensuring quality and …

Software defect predictors are useful to maintain the high quality of software products
effectively. The early prediction of defective software modules can help the software …

Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

Software defect prediction enhances the quality, efficiency, and effectiveness of time and
expenses for software testing by focusing on defect modules. Software defect prediction …

Software defect prediction is aimed to find potential defects based on historical data and
software features. Software features can reflect the characteristics of software modules …

Software fault prediction approaches are much more efficient and effective to detect software
faults compared to software reviews. Machine learning classification algorithms have been …

The two main challenges of Software Defect Prediction are high dimensionality and class
imbalance. The first challenge is high dimensionality where the number of features extracted …