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

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</svg></span></td><td align="center">Mean</td><td align="center">Std. dev.</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td align="left">jBPM</td><td align="center">2.2</td><td align="center">2</td><td align="center"><b>0.68</b></td><td align="center">Finite</td><td align="center">Infinite</td></tr><tr><td align="left">jEdit</td><td align="center">2.32</td><td align="center">2</td><td align="center"><b>0.37</b></td><td align="center">Finite</td><td align="center">Infinite</td></tr><tr><td align="left">Openbravo ERP</td><td align="center">1.66</td><td align="center">1</td><td align="center"><b>0.10</b></td><td align="center">Infinite</td><td align="center">Infinite</td></tr><tr><td align="left">Eclipse</td><td align="center">2.33</td><td align="center">13</td><td align="center"><b>0.53</b></td><td align="center">Finite</td><td align="center">Infinite</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

International Scholarly Research Notices

tab9

Table 9

Table 9: An Empirical Study of the Effect of Power Law Distribution on the Interpretation of OO Metrics 