Abstract
Graph transformation systems (GTS) and Petri nets (PN) are central formal models for concurrent/distributed systems. PN are usually considered as instances of GTS, due to the lack of ability to dynamically adapt their structure. Reversing this perspective, a formal encoding of GTS was recently defined using Symmetric Nets (SN), a High-Level PN formalism which syntactically highlights system behavioural symmetries. This makes it possible reusing the efficient analysis techniques and tools available for SN, e.g., new achievements in SN structural analysis, which are exploited to characterize valid transformation rules. This paper is on the same line, but follows a very different approach. Instead of directly formalizing GTS in terms of SN, a SN semantics is provided for the classical double-pushout approach, by constructively translating DPO rules to equivalent SN subnets. Using the native stochastic extension of SN (SSN) permits a for free encoding of stochastic GTS.
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Notes
- 1.
In this paper only unordered classes are used.
- 2.
They can be seen both as bags of functions and bag-functions.
- 3.
Given a transition instance b, we may equivalently write \(b:\ n_i = v_i, \ldots \) or \(n_i(b) = v_i\).
- 4.
L may be seen as a graph whose nodes are \(Var_I \cup Var_{obs}\), and whose edges are represented by the symbolic bag \(bag_{E_L}\).
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Capra, L. (2020). Graph Transformation Systems: A Semantics Based on (Stochastic) Symmetric Nets. In: Pang, J., Zhang, L. (eds) Dependable Software Engineering. Theories, Tools, and Applications. SETTA 2020. Lecture Notes in Computer Science(), vol 12153. Springer, Cham. https://doi.org/10.1007/978-3-030-62822-2_3
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