Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jordan Tigani
dblp:76/3368
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 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 |
Concurrent programming · 67% Program analysis · 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 |
0.1 | 1 | 2007 | Automatically classifying benign and harmful data racesallusing replay analysis · PLDI 2007 |
Concurrent programming › concurrency bugs
data race classification |
0.1 | 1 | 2007 | Automatically classifying benign and harmful data racesallusing replay analysis · PLDI 2007 |
Program analysis
dynamic analysis |
0.1 | 1 | 2007 | Automatically classifying benign and harmful data racesallusing replay analysis · PLDI 2007 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | MotherDuck: DuckDB in the cloud and in the client
R. J. Atwal, Peter Boncz, Ryan Boyd, Antony Courtney, Till Döhmen, Florian Gerlinghoff, Jeff Huang 0007, Joseph Hwang, Raphael Hyde, Elena Felder, Jacob Lacouture, Yves Le Maout, Boaz Leskes, Alex Monahan, Dan Perkins, Tino Tereshko, Jordan Tigani, Nick Ursa, Stephanie Wang, Yannick Welsch |
CIDR | 18 |
| 2007 | Automatically classifying benign and harmful data racesallusing replay analysisabstractMany concurrency bugs in multi-threaded programs are due to dataraces. There have been many efforts to develop static and dynamic mechanisms to automatically find the data races. Most of the prior work has focused on finding the data races and eliminating the false positives. Satish Narayanasamy, Jordan Tigani, Andrew Edwards, Brad Calder |
PLDI | 3 |