Comparison of Software Quality Metrics for Object-Oriented System

According to the IEEE standard glossary of software engineering, Object-Oriented design is becoming more important in software development environment and software Metrics are essential in software engineering for measuring the software complexity, estimating size, quality and project efforts. There are various approaches through which we can find the software cost estimation and predicates on various kinds of deliverable items. The tools are used for measuring the estimations are lines of codes, function points, and object points. This paper highlight mostly the classification of metrics like software quality metrics and the object-oriented metrics or all the software quality metrics like the HALSTEAD metrics, size merics, quality metrics and all the object oriented metrics which are proposed from 90’s like CK metrics, Moose Metrics, QMOOD Metrics, GQM, MOOSE, EMOOSE and maintain the comparison table through which we can easily analyze the difference between all the object-oriented metrics.