Demo Data from VLDB 2026 / reviewers in the wild / expert
Xiyue Jiang
dblp:306/1540
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
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 |
Debugging and program repair · 67% Software testing · 33% | |
| Network and information security
1 paper |
Systems and software security · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair
crash report analysis |
0.5 | 1 | 2021 | Igor: Crash Deduplication Through Root-Cause Clustering · CCS 2021 |
Debugging and program repair
fault localization |
0.5 | 1 | 2021 | Igor: Crash Deduplication Through Root-Cause Clustering · CCS 2021 |
Software testing
fuzzing |
0.5 | 1 | 2021 | Igor: Crash Deduplication Through Root-Cause Clustering · CCS 2021 |
Systems and software security
vulnerability discovery |
0.1 | 1 | 2021 | Igor: Crash Deduplication Through Root-Cause Clustering · CCS 2021 |
Methods — techniques the papers use, named apart from their topics
stack hashing · 1.0root-cause clustering · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Igor: Crash Deduplication Through Root-Cause ClusteringabstractFuzzing has emerged as the most effective bug-finding technique. The output of a fuzzer is a set of proof-of-concept (PoC) test cases for all observed "unique'' crashes. It costs developers substantial efforts to analyze each crashing test case. This, mostly manual, process has lead to the number of reported crashes out-pacing the number of bug fixes. Automatic crash deduplication techniques, which mostly rely on coverage profiles and stack hashes, are supposed to alleviate these pressures. However, these techniques both inflate actual bug counts and falsely conflate unrelated bugs. This hinders, rather than helps, developers, and calls for more accurate techniques. Zhiyuan Jiang, Xiyue Jiang, Ahmad Hazimeh, Chaojing Tang, Chao Zhang 0008, Mathias Payer |
CCS | 2 |