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ICSE 1998

Validation of the Coupling Dependency Metric as a Predictor of Run-Time Failures and Maintenance Measures

Aaron B. Binkley, Stephen R. Schach

DOI 10.1109/icse.1998.671604dblp

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.

BibTeX
@inproceedings{Binkley-Schach:ICSE98,
  author    = {Aaron B. Binkley and
               Stephen R. Schach},
  title     = {Validation of the Coupling Dependency Metric as a Predictor of {Run-Time} Failures and Maintenance Measures},
  booktitle = {ICSE},
  pages     = {452--455},
  publisher = {{IEEE} Computer Society},
  year      = {1998},
}

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