An Empirical Study of the Effect of Power Law Distribution on the Interpretation of OO Metrics

<table>The cumulative distribution functions <svg height="15.0875" id="M70" style="vertical-align:-2.3205pt" version="1.1" viewbox="0 0 32.200001 15.0875" width="32.200001" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> and their maximum likelihood power law fits for the NOC metric (jBPM, jEdit, Openbravo ERP, and Eclipse).</table>

International Scholarly Research Notices

fig4

Figure 4

Figure 4: An Empirical Study of the Effect of Power Law Distribution on the Interpretation of OO Metrics 