Software Metrics Evaluation Based on Entropy

Software engineering activities in the Industry has come a long way with various improvementsbrought in various stages of the software development life cycle. The complexity of modernsoftware, the commercial constraints and the expectation for high quality products demand the accuratefault prediction based on OO design metrics in the class level in the early stages of software developmentThe object oriented class metrics are used as quality predictors in the entire OO software developmentlife cycle even when a highly iterative, incremental model or agile software process is employed. Recentresearch has shown some of the OO design metrics are useful for predicting fault-proneness of classes. Inthis paper the empirical validation of a set of metrics proposed by Chidamber and Kemerer is performedto assess their ability in predicting the software quality in terms of fault proneness and degradation. Wehave also proposed the design complexity of object-oriented software with Weighted Methods per Classmetric (WMC-CK metric) expressed in terms of Shannon entropy, and error proneness