Skip to Main content Skip to Navigation
Reports

Causal Message Sequence charts

Abstract : Properties of scenario languages (Message Sequence Charts, Live Sequence Charts, UML's sequence diagrams) have been widely studied in the last decade. Scenario languages embed the expressive power of Mazurkiewicz traces, and consequently, several problems such as model checking are undecidable for these languages. Despite their expressive power, most of scenario languages can only model finitely generated behaviors that can be described as the concatenation of patterns from a finite set. However, non-finitely generated behaviors such as sliding windows frequently occur in asynchronous distributed systems. Several extensions of Message Sequence Charts have been proposed to capture non-finitely generated behaviors, but these variants embed the expressive power of automata communicating via unbounded channels (and thus of Turing Machines), making their analysis even more intractable. We propose a new extension of Message Sequence Charts that can model non-finitely generated MSC languages without embedding the expressive power of communicating automata, and study its properties.
Document type :
Reports
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/inria-00173529
Contributor : Loic Helouet <>
Submitted on : Tuesday, October 30, 2007 - 11:15:07 AM
Last modification on : Thursday, January 7, 2021 - 4:13:01 PM
Long-term archiving on: : Tuesday, September 21, 2010 - 2:58:39 PM

File

RRCausal2.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00173529, version 2

Citation

Thomas Gazagnaire, Shaofa Yang, Loïc Hélouët, Blaise Genest, P.S. Thiagarajan. Causal Message Sequence charts. [Research Report] RR-6301, INRIA. 2007, pp.39. ⟨inria-00173529v2⟩

Share

Metrics

Record views

879

Files downloads

293