Name
Abstract | ||
|---|---|---|
Coverage-based greybox fuzzing (CGF) has been widely studied and commonly used for software vulnerability detection. Existing CGF fuzzers fairly allocate execution time for each mutation operation to generate test cases. However, the fair-time-allocation strategy is revealed to be inefficient by our significant experimental observation that different operations have heterogeneous effectiveness on ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SANER50967.2021.00019 | 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) |
Keywords | DocType | ISBN |
greybox fuzzing,vulnerability detection,code coverage,automated testing | Conference | 978-1-7281-9630-5 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xumei Li | 1 | 1 | 0.35 |
| Lei Sun | 2 | 1 | 0.35 |
| Ruobing Jiang | 3 | 1 | 2.72 |
| Haipeng Qu | 4 | 6 | 5.14 |
| Zhen Yan | 5 | 1 | 0.35 |