Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.
<p>Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.</p> <p> </p> <p>2.1 results of static analysis.zip<br> - Metadata collected when fuzzing (protobuf format)<br> - the related protobuf files are in https://github.com/ZHYfeng/Dependency/05-proto<br> - Information to support manual analysis (generated by metadata and static analysis)<br> - with name "0xffffffffaddress.txt", including every information about this uncovered address.</p> <p>2.2 results of manual analysis.zip<br> - Information of non-UD and UD for each module<br> - Overall statistic data, for example, coverage, prevalent of UD<br> - Sample cases and accuracy checking of sampled UD and its WS<br> - Root causes of sampled UDs</p> <p>2.3 example case.zip<br> - example cases of different root causes</p>
ShareScore
32/100
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
- 0