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 …

Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …

Defect prediction models are classifiers that are trained to identify defect-prone software
modules. Such classifiers have configurable parameters that control their characteristics (eg …

During the last 10 years, hundreds of different defect prediction models have been
published. The performance of the classifiers used in these models is reported to be similar …

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 security failures are common and the problem is growing. A vulnerability is a
weakness in the software that, when exploited, causes a security failure. It is difficult to detect …

Imbalanced data is a common problem in data mining when dealing with classification
problems, where samples of a class vastly outnumber other classes. In this situation, many …

Based on a two-stage classification method and a two-stage ranking method on three-way
decisions, this paper introduces a three-way decisions framework for cost-sensitive software …

Software quality is a field of study and practice that describes the desirable attributes of
software products. The performance must be perfect without any defects. Software quality …