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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2023 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
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Complete Multiparty Session Type Projection with Automata

Authors: Elaine Li; Felix Stutz; Thomas Wies; Damien Zufferey;

Complete Multiparty Session Type Projection with Automata

Abstract

AbstractMultiparty session types (MSTs) are a type-based approach to verifying communication protocols. Central to MSTs is a projection operator: a partial function that maps protocols represented as global types to correct-by-construction implementations for each participant, represented as a communicating state machine. Existing projection operators are syntactic in nature, and trade efficiency for completeness. We present the first projection operator that is sound, complete, and efficient. Our projection separates synthesis from checking implementability. For synthesis, we use a simple automata-theoretic construction; for checking implementability, we present succinct conditions that summarize insights into the property of implementability. We use these conditions to show that MST implementability is PSPACE-complete. This improves upon a previous decision procedure that is in EXPSPACE and applies to a smaller class of MSTs. We demonstrate the effectiveness of our approach using a prototype implementation, which handles global types not supported by previous work without sacrificing performance.

Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, Computer Science - Distributed, Parallel, and Cluster Computing, Formal Languages and Automata Theory (cs.FL), Computer Science - Formal Languages and Automata Theory, Distributed, Parallel, and Cluster Computing (cs.DC), Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green
hybrid