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 …

Identification and location of defects in software projects is an important task to improve
software quality and to reduce software test effort estimation cost. In software fault prediction …

Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …

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

The performance of prediction models in software defect prediction depends on the quality
of datasets used for training such models. Class imbalance is one of data quality problems …

Previously, many researchers have performed analysis of various techniques for the
software fault prediction (SFP). Oddly, the majority of such studies have shown the limited …

Software defect prediction is important task during software development Lifecycle as it can
help managers to identify the most defect-proneness modules. Thus, it can reduce the test …

Different data preprocessing methods and classifiers have been established and evaluated
earlier for the software defect prediction (SDP) across projects. These novel approaches …

Software fault prediction approaches are much more efficient and effective to detect software
faults compared to software reviews. Machine learning classification algorithms have been …

Nowadays, there are a lot of classifications models used for predictions in the software
engineering field such as effort estimation and defect prediction. One of these models is the …