Software fault/defect prediction aids software engineers in identifying defective
constructions, including classes and modules early in software development life cycle. Deep …

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 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 is a critical task in software engineering that aims to identify and
prevent faults in software code before they occur. Machine learning algorithms have been …

Detecting defects in software at the bleeding edge of a software development life cycle is
vital. Identifying defects before the deployment of software aids in delivering high-quality …

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 …

Faults are most likely to occur during the coding phase of software development. If, before
the testing process, we can predict parts of code that are more prone to faults, then a large …

Developing defect free, reliable software is a tedious task in software development process.
Growing size and complexity of software makes it hard to identify faults in software modules …

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

Abstract Machine-learning techniques are used to find the defect, fault, ambiguity, and bad
smell to accomplish quality, maintainability, and reusability in software. Software fault …