Abstract
In maintenance, assuring code quality and operation, software metrics is widely used by the various software organizations. Software metrics quantify different types of software complexity like size metrics, control flow metrics and data flow metrics. These software complexities must be continuously calculated, followed and controlled. One of the main objectives of software metrics is that measures static and dynamic metrics analysis. It is always considered that high degree of complexity in a fragment is bad in comparison to a low degree of complexity in a fragment. Software metrics can be used in different phases of the software lifecycle. In this paper we will discuss the different metrics and comparison between both static and dynamic metrics. We try to evaluate and analyze different aspects of software static and dynamic metrics in regression testing which offers of estimating the effort needed for testing.
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