An Empirical Assessment and Validation of Redundancy Metrics Using Defect Density as Reliability Indicator

Software metrics which are language-dependent proposed as quantitative measures to assess internal quality factors for both method and class levels like cohesion complexity. The external reliability maintainability in general predicted using different of attributes. Literature review shows a lack software measurement prediction. In this context, suite four semantic language-independent was by Mili et al. (2014) program redundancy Shannon entropy measure. main objective these is monitor reliability. Despite their important purpose, they manually computed only theoretically validated. Therefore, paper aims the empirically validate them significant indicators. As an attribute that cannot be directly evaluated, we employ other measurable represent direct reflections attribute. Among factors, defect density widely used measure predict based on metrics. linear regression technique show usefulness indicators density. A model then order