Demo Data from EDBT 2026 / reviewers in the wild / expert
Jana Chadt
dblp:393/9333
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
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% | |
| Network and information security
1 paper |
Blockchain and cryptocurrency security · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › fuzzing
fuzzer benchmarking |
0.8 | 1 | 2024 | Olympia: Fuzzer Benchmarking for Solidity · ASE 2024 |
Software testing
fuzzing |
0.8 | 1 | 2024 | Olympia: Fuzzer Benchmarking for Solidity · ASE 2024 |
Software testing › fuzzing
smart contract fuzzing |
0.8 | 1 | 2024 | Olympia: Fuzzer Benchmarking for Solidity · ASE 2024 |
Blockchain and cryptocurrency security
smart contract security |
0.2 | 1 | 2024 | Olympia: Fuzzer Benchmarking for Solidity · ASE 2024 |
Methods — techniques the papers use, named apart from their topics
benchmark generation · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Olympia: Fuzzer Benchmarking for SolidityabstractOver the last few years, smart-contract hacks have resulted in the loss of billions of assets. To efficiently identify such vulnerabilities, academic and industrial researchers have developed several popular smart-contract fuzzers. However, it has been challenging to objectively compare their bug-finding effectiveness. In this paper, we present Olympia, the first benchmark-generation tool that is designed for smart-contract, rather than general-purpose, fuzzers. We have used Olympia to evaluate the effectiveness of four well known, open-source fuzzers for Solidity smart contracts. Jana Chadt, Christoph Hochrainer, Valentin Wüstholz, Maria Christakis |
ASE | 1 |