Experimental Analysis of Different Metrics (Object-Oriented and Structural) of Software

In this paper first investigate the relationships between existing object-oriented metrics (coupling, cohesion) and procedure-oriented metrics (Line of code, Cyclomatic complexity and knot metric) measure the probability of error detection in system classes during testing and is to propose an investigation and analysis strategy to make these kinds of studies more reusable and comparable, a problem which is persistent in the quality measurement. The metrics are first defined and then explained using practical applications finally, a review of the empirical study concerning chosen and coupling metrics and subset of these measures that provide sufficient information is given and metrics providing overlapping information are expelled from the set. The paper defines a new set of operational measures for the conceptual coupling of classes, which are theoretically valid and empirically studied. In this paper, we shows that these metrics capture new dimensions in coupling measurement, compared to existing structural metrics.