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 …

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

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 …

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 …

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 …

Effective prediction of defect-prone software modules can enable software developers to
focus quality assurance activities and allocate effort and resources more efficiently. Support …

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

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 quality engineering comprises of several quality assurance activities such as
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …

Accurate prediction of fault prone modules (a module is equivalent to a C function or a C++
method) in software development process enables effective detection and identification of …