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 "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis". </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 https://github.com/SoftSec-KAIST/BinKit. It is named the "normal dataset".</p> <p>Any miss-labeling can be reported at https://github.com/island255/TOSEM2022.</p> <p>Using this dataset, please cite our paper, "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis".</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