Efficient Discrete-Event Simulation of Colored Petri Nets
IEEE Transactions on Software Engineering - Special issue: best papers of the sixth international workshop on Petri nets and performance models (PNPM'95)
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IEEE Transactions on Software Engineering
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LICS '09 Proceedings of the 2009 24th Annual IEEE Symposium on Logic In Computer Science
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The Computer Journal
COSMOS: A Statistical Model Checker for the Hybrid Automata Stochastic Logic
QEST '11 Proceedings of the 2011 Eighth International Conference on Quantitative Evaluation of SysTems
HASL: an expressive language for statistical verification of stochastic models
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
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TACAS'12 Proceedings of the 18th international conference on Tools and Algorithms for the Construction and Analysis of Systems
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The Hybrid Automata Stochastic Logic (HASL) has been recently defined as a flexible way to express classical performance measures as well as more complex, path-based ones (generically called "HASL formulas"). The considered paths are executions of Generalized Stochastic Petri Nets (GSPN), which are an extension of the basic Petri net formalism to define discrete event stochastic processes. The computation of the HASL formulas for a GSPN model is demanded to the COSMOS tool, that applies simulation techniques to the formula computation. Stochastic Symmetric Nets (SSN) are a high level Petri net formalism, of the colored type, in which tokens can have an identity, and it is well known that colored Petri nets allow one to describe systems in a more compact and parametric form than basic (uncolored) Petri nets. In this paper we propose to extend HASL and COSMOS to support colors, so that performance formulas for SSN can be easily defined and evaluated. This requires a new definition of the logic, to ensure that colors are taken into account in a correct and useful manner, and a significant extension of the COSMOS tool.