Wed 23 Oct 2024 17:00 - 17:20 at San Gabriel - Formal Methods 2 Chair(s): Bor-Yuh Evan Chang

We present Most, a language for protocols using message-observing session types. Message-observing session types extend binary session types with type-level computation to specify communication protocols that vary based on messages observed on other channels. Hence, Most allows us to express global invariants about processes, rather than just local invariants, in a bottom-up, compositional way. We give Most a semantic foundation using traces with binding, a semantic approach for compositionally reasoning about traces in the presence of name generation. We use this semantics to prove type soundness and compositionality for Most processes. We see this as a significant step towards capturing message-dependencies and providing more precise guarantees about processes.

Wed 23 Oct

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16:00 - 17:40
Formal Methods 2OOPSLA 2024 at San Gabriel
Chair(s): Bor-Yuh Evan Chang University of Colorado Boulder & Amazon
16:00
20m
Talk
A Constraint Solving Approach to Parikh Images of Regular Languages
OOPSLA 2024
Amanda Stjerna Uppsala university, Philipp Rümmer University of Regensburg and Uppsala University
DOI
16:20
20m
Talk
Imperative Compositional Programming: Type Sound Distributive Intersection Subtyping with References via Bidirectional Typing
OOPSLA 2024
Wenjia Ye National University of Singapore, Yaozhu Sun University of Hong Kong, Bruno C. d. S. Oliveira University of Hong Kong
DOI
16:40
20m
Talk
Inductive diagrams for causal reasoning
OOPSLA 2024
Jonathan Castello University of California, Santa Cruz, Patrick Redmond University of California at Santa Cruz, Lindsey Kuper University of California, Santa Cruz
DOI Pre-print
17:00
20m
Talk
Message-Observing Sessions
OOPSLA 2024
Ryan Kavanagh Université du Québec à Montréal (UQAM), Brigitte Pientka McGill University
DOI
17:20
20m
Talk
Plume: Efficient and Complete Black-box Checking of Weak Isolation Levels
OOPSLA 2024
Si Liu ETH Zurich, Long Gu State Key Laboratory for Novel Software Technology, Nanjing University, Hengfeng Wei State Key Laboratory for Novel Software Technology, Nanjing University, David Basin ETH Zurich
DOI