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Alexis Bédard

dblp:301/6400 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Data stream processing
complex event processing
0.712023
Formal verification for event stream processing: Model checking of BeepBeep stream processing pipelines · Inf. Comput. 2023
Program verification
model checking
0.712023
Formal verification for event stream processing: Model checking of BeepBeep stream processing pipelines · Inf. Comput. 2023
YearPublicationVenuePosition
2023 Formal verification for event stream processing: Model checking of BeepBeep stream processing pipelines
abstract
Event 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 Pipelines
abstract
Event 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
TIME1