Context Several issues hinder software defect data including redundancy, correlation,
feature irrelevance and missing samples. It is also hard to ensure balanced distribution …

Software defect prediction (SDP) is the process of predicting defects in software modules, it
identifies the modules that are defective and require extensive testing. Classification …

Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …

Two important problems which can affect the performance of classification models are high-
dimensionality (an overabundance of independent features in the dataset) and imbalanced …

Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …

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 …

Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

Classification algorithms that help to identify software defects or faults play a crucial role in
software risk management. Experimental results have shown that ensemble of classifiers are …

Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …

Background: Ensemble techniques have gained attention in various scientific fields. Defect
prediction researchers have investigated many state-of-the-art ensemble models and …