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Pascal Wiesmann

dblp:220/9237 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—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.

Computer networks
1 paper
Network management and operations · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network management and operations › network configuration
network configuration analysis		 0.312018
Bayonet: probabilistic inference for networks · PLDI 2018
Network management and operations
network verification		 0.312018
Bayonet: probabilistic inference for networks · PLDI 2018

Methods — techniques the papers use, named apart from their topics

probabilistic inference · 0.3
YearPublicationVenuePosition
2018 Bayonet: probabilistic inference for networks
abstract
Network operators often need to ensure that important probabilistic properties are met, such as that the probability of network congestion is below a certain threshold. Ensuring such properties is challenging and requires both a suitable language for probabilistic networks and an automated procedure for answering probabilistic inference queries.
Timon Gehr, Sasa Misailovic, Petar Tsankov, Laurent Vanbever, Pascal Wiesmann, Martin T. Vechev
 PLDI5