Demo Data from EDBT 2026 / reviewers in the wild / expert
Alexis Bédard
dblp:301/6400
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2023
0009-0008-0288-8695ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 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.
| Databases, data mining, and information retrieval
1 paper |
Data stream processing · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Program verification · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data stream processing
complex event processing |
0.7 | 1 | 2023 | Formal verification for event stream processing: Model checking of BeepBeep stream processing pipelines · Inf. Comput. 2023 |
Program verification
model checking |
0.7 | 1 | 2023 | Formal verification for event stream processing: Model checking of BeepBeep stream processing pipelines · Inf. Comput. 2023 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Formal verification for event stream processing: Model checking of BeepBeep stream processing pipelinesabstractEvent stream processing (ESP) is the application of a computation to a set of input sequences of arbitrary data objects, called “events”, in order to produce other sequences of data objects. In recent years, a large number of ESP systems have been developed; however, none of them is easily amenable to a formal verification of properties on their execution. In this paper, we show how stream processing pipelines built with an existing ESP library called BeepBeep 3 can be exported as a Kripke structure for the NuXmv model checker. This makes it possible to formally verify properties on these pipelines, and opens the way to the use of such pipelines directly within a model checker as an extension of its specification language. Alexis Bédard, Sylvain Hallé |
Inf. Comput. | 1 |
| 2021 | Model Checking of Stream Processing PipelinesabstractEvent stream processing (ESP) is the application of a computation to a set of input sequences of arbitrary data objects, called "events", in order to produce other sequences of data objects. In recent years, a large number of ESP systems have been developed; however, none of them is easily amenable to a formal verification of properties on their execution. In this paper, we show how stream processing pipelines built with an existing ESP library called BeepBeep 3 can be exported as a Kripke structure for the NuXmv model checker. This makes it possible to formally verify properties on these pipelines, and opens the way to the use of such pipelines directly within a model checker as an extension of its specification language. Alexis Bédard, Sylvain Hallé |
TIME | 1 |