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Dataset for paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis"

<p>This is the dataset constructed and used in the paper &quot;1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis&quot;.&nbsp;</p> <p>We release it with its ground truth labels to facilitate further research in binary similarity analysis under function inlining. Besides, we also welcome others to find miss-labeling in this dataset and fix them. We hope our dataset could help researchers conduct their studies and improve the binary similarity analysis techniques.</p> <p>Binaries of dataset-I can also be accessed from&nbsp;https://github.com/SoftSec-KAIST/BinKit.&nbsp;It is named the &quot;normal dataset&quot;.</p> <p>Any miss-labeling can be reported at&nbsp;https://github.com/island255/TOSEM2022.</p> <p>Using this dataset, please cite our paper,&nbsp;&quot;1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis&quot;.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4