Demo Data from EDBT 2026 / reviewers in the wild / expert
Joshua Rosen
dblp:02/11143
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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.
| Databases, data mining, and information retrieval
1 paper |
Distributed and cloud data management · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › mutation testing › fault injection
fault injection testing |
0.2 | 1 | 2015 | Lineage-driven Fault Injection · SIGMOD Conference 2015 |
Distributed systems
fault tolerance |
0.1 | 1 | 2015 | Lineage-driven Fault Injection · SIGMOD Conference 2015 |
Methods — techniques the papers use, named apart from their topics
lineage analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Lineage-driven Fault InjectionabstractIn large-scale data management systems, failure is practically a certainty. Fault-tolerant protocols and components are notoriously difficult to implement and debug. Worse still, choosing existing fault-tolerance mechanisms and integrating them correctly into complex systems remains an art form, and programmers have few tools to assist them. Peter Alvaro, Joshua Rosen, Joseph M. Hellerstein |
SIGMOD Conference | 2 |