Background Software fault prediction is the process of develo** models that can be used
by the software practitioners in the early phases of software development life cycle for …

Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …

Heart diseases are of notable public health disquiet worldwide. Heart patients are growing
speedily owing to deficient health awareness and bad consumption lifestyles. Therefore, it is …

Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

CONTEXT: Software metrics may be used in fault prediction models to improve software
quality by predicting fault location. OBJECTIVE: This paper aims to identify software metrics …

CONTEXT: Software defect prediction studies usually built models using within-company
data, but very few focused on the prediction models trained with cross-company data. It is …

Context Software defect prediction (SDP) plays an important role in allocating testing
resources reasonably, reducing testing costs, and ensuring software quality. However …

The software development life cycle generally includes analysis, design, implementation,
test and release phases. The testing phase should be operated effectively in order to …

Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

This paper describes a study performed in an industrial setting that attempts to build
predictive models to identify parts of a Java system with a high fault probability. The system …