@article{ samadzadeh_study_1991,
  title = {A study of software metrics},
  volume = {16},
  issn = {0164-1212},
  url = {http://www.sciencedirect.com/science/article/pii/016412129190017Z},
  doi = {10.1016/0164-1212(91)90017-Z},
  abstract = {This article reports on an empirical study conducted to explore the interdependencies among a number of software metrics and validate a new metric. Also a model for code faults in terms of static metrics is presented and investigated. The software analyzed is a commercial data-base system currently being sold and used widely. Availability of various post-release versions of this production-quality software package, together with the corresponding history data, provide a new dimension for metrics analysis. The results of this study indicate that: 1.
1) all of the static metrics considered correlate well to each other and also to the size metric;
2.
2) the residual complexity metric was validated against other static metrics;
3.
3) none of the metrics under consideration was able to identify all of the variations in code faults; in fact, even a multiple-variable model accounted for only one quarter of the variance in the number of code faults; and
4.
4) the static metrics' intercorrelations are consistent across versions.},
  number = {3},
  urldate = {2014-07-21TZ},
  journal = {Journal of Systems and Software},
  author = {Samadzadeh, M. H. and Nandakumar, K.},
  month = {November},
  year = {1991},
  keywords = {_done, _model_of_faults, _target_is_code},
  pages = {229--234}
}

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