Demo Data from VLDB 2026 / reviewers in the wild / expert
Samanway Sadhu
dblp:327/9280
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0009-0003-5926-019XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › fuzzing › greybox fuzzing
directed greybox fuzzing |
0.6 | 1 | 2022 | MC2: Rigorous and Efficient Directed Greybox Fuzzing · CCS 2022 |
Software testing
fuzzing |
0.6 | 1 | 2022 | MC2: Rigorous and Efficient Directed Greybox Fuzzing · CCS 2022 |
Software testing
test input generation |
0.2 | 1 | 2022 | MC2: Rigorous and Efficient Directed Greybox Fuzzing · CCS 2022 |
Methods — techniques the papers use, named apart from their topics
theoretical analysis · 0.6optimality analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | MC2: Rigorous and Efficient Directed Greybox FuzzingabstractDirected greybox fuzzing is a popular technique for targeted software testing that seeks to find inputs that reach a set of target sites in a program. Most existing directed greybox fuzzers do not provide any theoretical analysis of their performance or optimality. Abhishek Shah, Dongdong She, Samanway Sadhu, Krish Singal, Peter Coffman, Suman Jana |
CCS | 3 |