The high dimensionality of software metric features has long been noted as a data quality
problem that affects the performance of software defect prediction (SDP) models. This …

Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …

Software Defect Prediction (SDP) is an approach used for identifying defect-prone software
modules or components. It helps software engineer to optimally, allocate limited resources to …

Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …

Software systems have grown in size and complexity. These characteristics increase the
difficulty of preventing software errors. As a result, forecasting the frequency of software …

Software defect prediction is the process of locating defective modules in software. It
facilitates testing efficiency and consequently software quality. It enables a timely …

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 …

The selection of software metrics for building software quality prediction models is a search‐
based software engineering problem. An exhaustive search for such metrics is usually not …

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 …

Detecting software defects before they occur is crucial in software engineering as it impacts
software system quality and reliability. Previous studies on predicting software defects have …