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 can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …

To improve the software quality, the software is generally tested to find out any bugs or a
simple reliability test. A reliable software defect checking mechanism is a leading research …

Software defect prediction is the process of locating defective modules in software. It
facilitates testing efficiency and consequently software quality. It enables a timely …

Machine learning is an effective method for software defect prediction. The performance of
learning models can be affected by irrelative and redundant features. Feature selection …

In order to improve software reliability, software defect prediction is applied to the process of
software maintenance to identify potential bugs. Traditional methods of software defect …

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 …

To predict software defects required prediction models using defect data and software
metrics called Software Defect Prediction (SDP). Some learning algorithms are used to …

An improved software defects prediction algorithm based on combination of Kohonen map
and hierarchical clustering is presented in this paper. The need for software reliability …

Irrespective of the type of software system that is being developed, producing and delivering
high-quality software within the specified time and budget is crucial for many software …