Software fault prediction is one of the significant stages in the software testing process. At
this stage, the probability of fault occurrence is predicted based on the documented …

Classification techniques is a popular approach to predict software defects and it involves
categorizing modules, which is represented by a set of metrics or code attributes into fault …

Software defect feature selection has problems of feature space dimensionality reduction
and large search space. This research proposes a defect prediction feature selection …

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 …

Predicting the defects at early stage of software development life cycle can improve the
quality of end product at lower cost. Machine learning techniques have been proved to be …

Software development and the maintenance life cycle are lengthy processes. However, the
possibility of having defects in the software can be high. Software reliability and performance …

Detecting defective entities from existing software systems is a problem of great importance
for increasing both the software quality and the efficiency of software testing related …

Software has become a vital part of human's life-hence building defect free software is a
must. Various studies have been carried out to predict defects, probability of defect prone …

Prior identification of defects in software modules can help testers to allocate limited
resources efficiently. Defect prediction techniques are helpful for this situation because they …

This research work investigates the deployment of data sampling and ensemble techniques
in alleviating the class imbalance problem in software defect prediction (SDP). Specifically …