Abstract

This study surveys the effectiveness of Prediction Systems that predominantly assess the quality of software. The quality of the software systems depends on functional and non-functional attributes. In this technological era, software quality prediction is one of the challenging tasks. It became an essential ingredient in many systems that produce reliable, cost effective and less complex software. Hence various researchers are deploying many faults-prone model systems with various testing traits as parameters to develop quality software. This paper surveys the pros and cons of software quality prediction systems that are based on fault- prone models with Software metrics of the quality systems and describes the different kind of measures in the field of software engineering.