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 …

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 …

In the field of early prediction of software defects, various techniques have been developed
such as data mining techniques, machine learning techniques. Still early prediction of …

Software systems evolve over time due to changes in requirements, optimization of code,
fixes for security and reliability bugs etc. Code churn, which measures the changes made to …

We have mapped defects from the bug database of eclipse (one of the largest open-source
projects) to source code locations. The resulting data set lists the number of pre-and post …

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 …

Often software systems are developed by organizations consisting of many teams of
individuals working together. Brooks states in the Mythical Man Month book that product …

We investigate the relationship between faults and five of Fowler et al.'s least-studied smells
in code: Data Clumps, Switch Statements, Speculative Generality, Message Chains, and …

The knowledge about the software metrics which serve as defect indicators is vital for the
efficient allocation of resources for quality assurance. It is the process metrics, although …