An Empirical Study on the Impact of Duplicate Code

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left" rowspan="2"> Modification  Type</td><td align="center" colspan="2"> MF</td></tr><tr><td align="center"> Duplicate code</td><td align="center"> Nonduplicate code </td></tr><tr><td align="left" colspan="3"><hr/></td></tr><tr><td align="left"> Change</td><td align="center"> 7.0337</td><td align="center"> 8.1039</td></tr><tr><td align="left">Delete</td><td align="center"> 1.0216</td><td align="center"> 1.4847</td></tr><tr><td align="left">Add</td><td align="center"> 1.9539</td><td align="center"> 3.7378 </td></tr><tr><td align="left" colspan="3"><hr/></td></tr><tr><td align="left"> ALL</td><td align="center"> 10.0092</td><td align="center"> 13.3264</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The average values of MF in Experiment 1.1.    

Advances in Software Engineering

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Table 7

Table 7: An Empirical Study on the Impact of Duplicate Code 