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 …

Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

Abstract Software Fault Prediction (SFP) is found to be vital to predict the fault-proneness of
software modules, which allows software engineers to focus development activities on fault …

Context Classification techniques of supervised machine learning have been successfully
applied to various domains of practice. When building a predictive model, there are two …

Context: Ranking-oriented defect prediction (RODP) ranks software modules to allocate
limited testing resources to each module according to the predicted number of defects. Most …

Abstract Context: The application of Software Fault Prediction (SFP) in the software
development life cycle to predict the faulty class at the early stage has piqued the interest of …

Software defect prediction (SDP) can be used to produce reliable, high-quality software. The
current SDP is practiced on program granular components (such as file level, class level, or …

Defective software modules have significant impact over software quality leading to system
crashes and software running error. Thus, Software Defect Prediction (SDP) mechanisms …

Software defect prediction (SDP) is vital to enhance the software quality with reduced testing
cost. It stresses to put more testing efforts on those modules which are susceptible to defects …

The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …