Demo Data from VLDB 2026 / reviewers in the wild / expert
Javier Thaine
dblp:179/8582
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
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 |
Program analysis · 67% Concurrent programming · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Concurrent programming › concurrency bugs
data races |
0.2 | 1 | 2016 | Locking discipline inference and checking · ICSE 2016 |
Program analysis › concurrent program analysis
lock inference |
0.2 | 1 | 2016 | Locking discipline inference and checking · ICSE 2016 |
Program analysis
static analysis |
0.2 | 1 | 2016 | Locking discipline inference and checking · ICSE 2016 |
Methods — techniques the papers use, named apart from their topics
type inference · 0.2static checking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Locking discipline inference and checkingabstractConcurrency is a requirement for much modern software, but the implementation of multithreaded algorithms comes at the risk of errors such as data races. Programmers can prevent data races by documenting and obeying a locking discipline, which indicates which locks must be held in order to access which data. Michael D. Ernst, Alberto Lovato, Damiano Macedonio, Fausto Spoto, Javier Thaine |
ICSE | 5 |