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">2.29</td><td align="center">24</td><td align="center">0.06</td><td align="center">Finite</td><td align="center">Infinite</td></tr><tr><td align="left">jEdit</td><td align="center">2.54</td><td align="center">235</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">3.09</td><td align="center">279</td><td align="center"><b>0.56</b></td><td align="center">Finite</td><td align="center">Finite</td></tr><tr><td align="left">Eclipse</td><td align="center">2.81</td><td align="center">543</td><td align="center">0.02</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

tab15

Table 15

Table 15: An Empirical Study of the Effect of Power Law Distribution on the Interpretation of OO Metrics 