Predicting the precise number of software defects: Are we there yet?
Abstract Context: Defect Number Prediction (DNP) models can offer more benefits than
classification-based defect prediction. Recently, many researchers proposed to employ …
classification-based defect prediction. Recently, many researchers proposed to employ …
An empirical study of ensemble techniques for software fault prediction
SS Rathore, S Kumar - Applied Intelligence, 2021 - Springer
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 fault prediction (SFP). Oddly, the majority of such studies have shown the limited …
Empirical studies of a two-stage data preprocessing approach for software fault prediction
Software fault prediction is a valuable exercise in software quality assurance to best allocate
limited testing resources. Classification is one of the effective methods for software fault …
limited testing resources. Classification is one of the effective methods for software fault …
Researcher bias: The use of machine learning in software defect prediction
Background. The ability to predict defect-prone software components would be valuable.
Consequently, there have been many empirical studies to evaluate the performance of …
Consequently, there have been many empirical studies to evaluate the performance of …
An empirical study toward dealing with noise and class imbalance issues in software defect prediction
SK Pandey, AK Tripathi - Soft Computing, 2021 - Springer
The quality of the defect datasets is a critical issue in the domain of software defect
prediction (SDP). These datasets are obtained through the mining of software repositories …
prediction (SDP). These datasets are obtained through the mining of software repositories …