This paper provides a systematic review of previous software fault prediction studies with a
specific focus on metrics, methods, and datasets. The review uses 74 software fault …

Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …

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

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 …

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 …

Background: The accurate prediction of where faults are likely to occur in code can help
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …

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 …

During the software development process, prediction of the number of faults in software
modules can be more helpful instead of predicting the modules being faulty or non-faulty …

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 …

Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …