Demo Data from VLDB 2026 / reviewers in the wild / expert
Jiradet Ounjai
dblp:351/6711
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 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
fuzzer benchmarking |
0.7 | 1 | 2023 | Green Fuzzer Benchmarking · ISSTA 2023 |
Software testing
fuzzing |
0.7 | 1 | 2023 | Green Fuzzer Benchmarking · ISSTA 2023 |
Software testing › fuzzing
coverage-guided fuzzing |
0.2 | 1 | 2023 | Green Fuzzer Benchmarking · ISSTA 2023 |
Methods — techniques the papers use, named apart from their topics
benchmarking platform · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Green Fuzzer BenchmarkingabstractOver the last decade, fuzzing has been increasingly gaining traction due to its effectiveness in finding bugs. Nevertheless, fuzzer evaluations have been challenging during this time, mainly due to lack of standardized benchmarking. Aiming to alleviate this issue, in 2020, Google released FuzzBench, an open-source benchmarking platform, that is widely used for accurate fuzzer benchmarking. Jiradet Ounjai, Valentin Wüstholz, Maria Christakis |
ISSTA | 1 |