This research highlights a procedure which includes a feature selection technique to single
out relevant attributes, and an ensemble technique to handle the class-imbalance issue. In …

There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …

Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …

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 …

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 failure such as software defect causes billion of dollar loss every year. Software
failure also affects billion of people worldwide. Inadequate software testing can cause …

Software technology is developing rapidly which leads to the growth of various industries.
Now-a-days, software-based applications have been adopted widely for business purposes …

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

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 …