Abstract
The coupling dependency metric (CDM) is a successful design quality metric. Here we apply it to four case studies: run-time failure data for a COBOL registration system; maintenance data for a C text-processing utility; maintenance data for a C++ patient collaborative care system; and maintenance data for a Java electronic file transfer facility. CDM outperformed a wide variety of competing metrics in predicting run-time failures and a number of different maintenance measures. These results imply that coupling metrics may be good predictors of levels of interaction within a software product.
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