The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

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 …

The increasing complexity of industrial processes, the continuing search for higher profits,
and increasingly demanding production constraints call for the implementation of a proactive …

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 …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Predicting full load electrical power output of a base load power plant is important in order to
maximize the profit from the available megawatt hours. This paper examines and compares …

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 …

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