One of the goal in software testing is to discover software defects before the software is used
by customer. Successful software testing leads to high quality software. However, exposing …

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 is the process of identifying new defects/bugs in software
modules. Software defect presents an error in a computer program, which is caused by …

Software defect prediction plays an increasingly critical role in emerging software systems.
However, existing software defect prediction approaches typically suffer from low accuracy …

In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …

Software defect prediction aims to automatically determine the most likely location of
defective program elements (ie, statement, method, class, module etc.). Previous studies for …

An increasing number of defects in software, damages the quality and reliability of that
software. The detection of defective instances is becoming increasingly important, and …

A novel approach for software defect prediction of unlabeled datasets is proposed using
modified objective cluster analysis (OCA). In this approach, the first step is to construct the …

Automated defect prediction of large and complex software systems is a challenging task.
However, by utilising correlated quality metrics, a defect prediction model can be devised to …

The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …