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Computing Parameterized Invariants of Parameterized Petri Nets

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A fundamental advantage of Petri net models is the possibility to automatically compute useful system invariants from the syntax of the net. Classical techniques used for this are place invariants, P-components, siphons or traps. Recently, Bozga et al. have presented a novel technique for the \emph{parameterized} verification of safety properties of systems with a ring or array architecture. They show that the statement \enquote{for every instance of the parameterized Petri net, all markings satisfying the linear invariants associated to all the P-components, siphons and traps of the instance are safe} can be encoded in \acs{WS1S} and checked using tools like MONA. However, while the technique certifies that this infinite set of linear invariants extracted from P-components, siphons or traps are strong enough to prove safety, it does not return an explanation of this fact understandable by humans. We present a CEGAR loop that constructs a \emph{finite} set of \emph{parameterized} P-components, siphons or traps, whose infinitely many instances are strong enough to prove safety. For this we design parameterization procedures for different architectures. Comment: Final version from editor
Centre pour la Communication Scientifique Directe (CCSD)
Title: Computing Parameterized Invariants of Parameterized Petri Nets
Description:
A fundamental advantage of Petri net models is the possibility to automatically compute useful system invariants from the syntax of the net.
Classical techniques used for this are place invariants, P-components, siphons or traps.
Recently, Bozga et al.
have presented a novel technique for the \emph{parameterized} verification of safety properties of systems with a ring or array architecture.
They show that the statement \enquote{for every instance of the parameterized Petri net, all markings satisfying the linear invariants associated to all the P-components, siphons and traps of the instance are safe} can be encoded in \acs{WS1S} and checked using tools like MONA.
However, while the technique certifies that this infinite set of linear invariants extracted from P-components, siphons or traps are strong enough to prove safety, it does not return an explanation of this fact understandable by humans.
We present a CEGAR loop that constructs a \emph{finite} set of \emph{parameterized} P-components, siphons or traps, whose infinitely many instances are strong enough to prove safety.
For this we design parameterization procedures for different architectures.
Comment: Final version from editor.

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