Demo Data from VLDB 2026 / reviewers in the wild / expert
Hairu Wu
dblp:361/0074
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0004-1816-4553ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 maintenance and evolution · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
code clone detection |
0.7 | 1 | 2023 | Gitor: Scalable Code Clone Detection by Building Global Sample Graph · ESEC/SIGSOFT FSE 2023 |
Software maintenance and evolution › code clone detection
graph-based clone detection |
0.7 | 1 | 2023 | Gitor: Scalable Code Clone Detection by Building Global Sample Graph · ESEC/SIGSOFT FSE 2023 |
Methods — techniques the papers use, named apart from their topics
graph representation learning · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Gitor: Scalable Code Clone Detection by Building Global Sample GraphabstractCode clone detection is about finding out similar code fragments, which has drawn much attention in software engineering since it is important for software maintenance and evolution. Researchers have proposed many techniques and tools for source code clone detection, but current detection methods concentrate on analyzing or processing code samples individually without exploring the underlying connections among code samples. Junjie Shan, Shihan Dou, Yueming Wu 0001, Hairu Wu, Yang Liu 0003 |
ESEC/SIGSOFT FSE | 4 |