Testing is one of the crucial activities of software development life cycle which ensures the
delivery of high quality product. As software testing consumes significant amount of …

Software defect prediction has been an important research topic in the software engineering
field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of …

From the start of software development, Software Defect Prediction (SDP) is a significant and
emerging challenge in the field of software engineering. Without an accurate model for …

Naïve Bayes is one of the most simplest and efficient classification algorithms and is
therefore being widely used. It has been utilized in several situations, like web mining …

The Software testing is critical for ensuring the quality of software, but it can consume more
than half of a software project's total expenses. This research can help software …

Software defects are expensive in quality and cost. The accurate prediction of defect-prone
software modules can help direct test effort, reduce costs, and improve the quality of …

Software defect prediction (SDP) is the process of detecting defectprone software modules
before the testing stage. The testing stage in the software development life cycle is …

Software testing using software defect prediction aims to detect as many defects as possible
in software before the software release. This plays an important role in ensuring quality and …

To address the challenges associated with the abundance of features in software datasets,
this study proposes a novel hybrid feature selection method that combines quantum particle …

Objective: Defects in delivered software products not only have financial implications but
also affect the reputation of the organisation and lead to wastage of time and human …