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Evaluation Data for the paper "Demystifying the Dependency Challenge in Kernel Fuzzing" in ICSE 2022 Technical Tracks.

<p>Evaluation Data for the paper &quot;Demystifying the Dependency Challenge in Kernel Fuzzing&quot; in ICSE 2022 Technical Tracks.</p> <p>&nbsp;</p> <p>2.1 results of static analysis.zip<br> - Metadata collected when fuzzing (protobuf format)<br> &nbsp;&nbsp; &nbsp;- the related protobuf files are in https://github.com/ZHYfeng/Dependency/05-proto<br> - Information to support manual analysis (generated by metadata &nbsp;and static analysis)<br> &nbsp;&nbsp; &nbsp;- with name &quot;0xffffffffaddress.txt&quot;, 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