Exploring type-level bisimilarity towards more expressive multiparty session types
File(s)
Published version
Author(s)
Yoshida, Nobuko
Jongmans, Sung-Shik
Type
Conference Paper
Abstract
A key open problem with multiparty session types (MPST)concerns their expressiveness: current MPST have inflexible choice, noexistential quantification over participants, and limited parallel compo-sition. This precludes many real protocols to be represented by MPST.To overcome these bottlenecks of MPST, we explore a new techniqueusing weak bisimilarity between global types and endpoint types, whichguarantees deadlock-freedom and absence of protocol violations. Basedon a process algebraic framework, we present well-formed conditions forglobal types that guarantee weak bisimilarity between a global type andits endpoint types and prove their check is decidable. Our main practicalresult, obtained through benchmarks, is that our well-formedness condi-tions can be checked orders of magnitude faster than directly checkingweak bisimilarity using a state-of-the-art model checker.
Date Issued
2020-04-18
Date Acceptance
2019-12-23
Citation
2020, pp.251-279
Publisher
Springer
Start Page
251
End Page
279
Copyright Statement
© The Editor(s) (if applicable) and The Author(s) 2020. This book is an open access publication.
Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International
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and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and
the source, provide a link to the Creative Commons license and indicate if changes were made.
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unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative
Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use,
you will need to obtain permission directly from the copyright holder.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are
believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors
give a warranty, expressed or implied, with respect to the material contained herein or for any errors or
omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International
License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution
and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and
the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this book are included in the book’s Creative Commons license,
unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative
Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use,
you will need to obtain permission directly from the copyright holder.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication
does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are
believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors
give a warranty, expressed or implied, with respect to the material contained herein or for any errors or
omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
License URL
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (E
Engineering and Physical Sciences Research Council
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://link.springer.com/chapter/10.1007%2F978-3-030-44914-8_10
Grant Number
ERI 025567 (EP/K034413/1)
PO 20131167
EP/L00058X/1, PO 20131167
EP/K011715/1
EP/N027833/1
20103649
EP/T006544/1
Source
29th European Symposium on Programming
Subjects
Artificial Intelligence & Image Processing
Publication Status
Published
Start Date
2020-04-25
Finish Date
2020-05-01
Coverage Spatial
Dublin, Ireland
Date Publish Online
2020-04-18