Handbook of theoretical computer science (vol. B)
Digital design: principles and practices (2nd ed.)
Digital design: principles and practices (2nd ed.)
Asynchronous interface specification, analysis and synthesis
DAC '98 Proceedings of the 35th annual Design Automation Conference
Formal verification in hardware design: a survey
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Model checking
Dual transitions petri net based modelling technique for embedded systems specification
Proceedings of the conference on Design, automation and test in Europe
FunState—an internal design representation for codesign
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Symbolic Model Checking
Software Specification: A Comparison of Formal Methods
Software Specification: A Comparison of Formal Methods
Combining Structural and Symbolic Methods for the Verification of Concurrent Systems
CSD '98 Proceedings of the 1998 International Conference on Application of Concurrency to System Design
Modeling and formal verification of embedded systems based on a Petri net representation
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Synthesis and verification
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
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This paper describes the formal verification of the recently introduced Dual Transition Petri Net (DTPN) models [12], using model checking techniques. The methodology presented addresses the symbolic model checking of embedded systems behavioural properties, expressed in either computation tree logics (CTL) or linear temporal logics (LTL). The embedded system specification is given in terms of DTPN models, where elements of the model are captured in a four-module library which implements the behaviour of the model. Key issues in the development of the methodology are the heterogeneity and the nondeterministic nature of the model. This is handled by introducing some modifications in both structure and behaviour of the model, thus reducing the points of nondeterminism. Several features of the methodology are discussed and two examples are given in order to show the validity of the model.