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Shon Feder

dblp:441/9786 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-3976-3457ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 since 2021Theory of computation · 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.

Theoretical computer science
1 paper
Automated reasoning and model checking · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automated reasoning and model checking › model checking
bounded model checking
1.012026
The TLA+ Model Checker Apalache · CAV (1) 2026
Automated reasoning and model checking › model checking
symbolic model checking
1.012026
The TLA+ Model Checker Apalache · CAV (1) 2026
Distributed systems
consensus
0.312026
The TLA+ Model Checker Apalache · CAV (1) 2026
Distributed systems › distributed system verification
protocol verification
0.312026
The TLA+ Model Checker Apalache · CAV (1) 2026

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

liveness-to-safety reduction · 2.0SMT solving · 2.0
YearPublicationVenuePosition
2026 The TLA+ Model Checker Apalache
abstract
Abstract The TLA $$^+$$ + language has been widely used, both in academia and industry, to specify and reason about distributed systems. This paper presents Apalache , an efficient and flexible symbolic model checker for TLA $$^+$$ + . Apalache ’s engine is based on bounded model checking, with symbolic transitions being extracted from TLA $$^+$$ + specifications and verification conditions suitable for satisfiability modulo theories (SMT) solvers being generated from them. Reasoning can be done in terms of safety and liveness properties, with liveness checking realised via a liveness-to-safety reduction. Apalache ’s flexibility lies in its three complementary functionalities: bounded exhaustive verification, for bounded guarantees, randomised symbolic execution, for prototyping and bug detection, and inductiveness checking, for unbounded guarantees. The paper describes Apalache ’s architecture and features, including its support for PlusCal and Quint, two languages that share the same semantic foundation as TLA $$^+$$ + . Industrial usage of Apalache is also presented, together with a case study which illustrates how Apalache can be used to verify the agreement property of a consensus protocol.
Rodrigo Otoni, Shon Feder, Jure Kukovec, Andrey Kupriyanov, Gabriela Moreira, Philip Offtermatt, Thomas Pani, Thanh-Hai Tran 0003, Igor Konnov 0001
CAV (1)2