A linear local model checking algorithm for CTL

Vergauwen, Bart; Lewi, Johan

doi:10.1007/3-540-57208-2_31

Cited by 35 publications

(24 citation statements)

References 13 publications

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“…• Inputs [33], a local CTL algorithm first introduced by Vergauwen and Lewi [121] and later adapted by Heljanko [57], and an algorithm used to verify invariants. Section 7.1 describes details of the applied model checking algorithms.…”

Section: Featuresmentioning

confidence: 99%

“…[mc]square uses three different model checking algorithms: a local model checking algorithm, which was first described by Vergauwen and Lewi [121] and later adapted by Heljanko [57], a global model checking algorithm presented by Clarke et al [33], and an algorithm to verify invariants. For all these three model checking algorithms, [mc]square has a specific algorithm to create corresponding counterexamples.…”

Section: Model Checkermentioning

confidence: 99%

“…We took the global model checking algorithm used in [mc]square from [33] and the local algorithm from [57,121]. Beside removing some errors and eliminating recursion from the local algorithm, we did not change the algorithms as we are mainly interested in the Although [mc]square uses states that are partly symbolic, the model checking algorithms utilized do not have to deal with symbolic states as they are handled by the Simulator.…”

Section: Related Workmentioning

confidence: 99%

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Model Checking Software

Donaldson¹,

Parker²

2012

Lecture Notes in Computer Science

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Software of microcontrollers is getting more and more complex. It is mandatory to extensively analyze their software as errors can lead to severe failures or cause high costs. Model checking is a formal method used to verify whether a system satisfies certain properties.This thesis describes a new approach for model checking software for microcontrollers. In this approach, assembly code is used for model checking instead of an intermediate representation such as C code.The development of [mc]square, which is a microcontroller assembly code model checker implementing this approach, is detailed.[mc]square has a modular architecture to cope with the hardware dependency of this approach. The single steps of the model checking process are divided into separate packages. The creation of the states is conducted by a specific simulator, which is the only hardware-dependent package. Within the simulator, the different microcontrollers are modeled accurately.This work describes the modeling of the ATMEL ATmega16 microcontroller and details implemented abstraction techniques, which are used to tackle the stateexplosion problem. These abstraction techniques include lazy interrupt evaluation, lazy stack evaluation, delayed nondeterminism, dead variable reduction, and path reduction. Delayed nondeterminism introduces symbolic states, which represent a set of states, into [mc]square while still explicit model checking techniques are used. Thus, we successfully combined explicit and symbolic model checking techniques.A formal model of the simulator, which we developed to prove the correctness of abstraction techniques, is described. In this work, the formal model is used to show the correctness of delayed nondeterminism.To show the applicability of the approach, two case studies are described. In these case studies, we used programs of different sizes. All these programs were created by students in lab courses, during diploma theses, or in exercises without the intention to use them for model checking.

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Section: Featuresmentioning

confidence: 99%

Section: Model Checkermentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Model Checking Software

Donaldson¹,

Parker²

2012

Lecture Notes in Computer Science

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“…Due to space limitations, the on-the-fly model checking algorithm of EOCL on OOT S UML that is implemented in the tool is not presented here. The reader is referred to [11] for a systematic presentation of this algorithm, but in summary, it is a version of Vergauven and Lewi's on-the-fly linear time CTL model checking algorithm [12] extended to cope with OOT S UML and EOCL. The ASM semantics of UML itself are presented only to the extent necessary for understanding the way a OOT S UML is uniformly generated from an UML/OCL model.…”

Section: Content Of the Papermentioning

confidence: 99%

“…The model checker implements a version of the Vergauven and Levi's on-the-fly linear time CTL model checking algorithm [12], that is extended to cope with OOT S UML and EOCL, thus improving an earlier version of SOCLe presented in [17], which is based on a naive approach to verification of OCL extended with fixed points to express temporal contracts.…”

Section: The Tool Soclementioning

confidence: 99%

Model Checking of Extended OCL Constraints on UML Models in SOCLe

Mullins

Oarga

2007

Lecture Notes in Computer Science

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Abstract. We present the first tool that offers dynamic verification of extended OCL constraints on UML models. It translates a UML model into an Abstract State Machine (ASM) which is transformed by an ASM simulator into an abstract structure called UML-valued OO TransitionSystem (OOT SUML). The Extended Object Constraints Language (EOCL) is interpreted on computation trees of this OOT SUML allowing for the statement of both OCL expressions modelling the system and OO primitives binding it to UML on the one hand, and safety or liveness constraints on the computation trees of the UML/OCL model on the other hand. An on-the-fly model checking algorithm, which provides the capability to work, at any time, on as small a possible subset of states as necessary, has been integrated into the tool.

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LoLA A Low Level Analyser

Schmidt

2000

Lecture Notes in Computer Science

128

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A linear local model checking algorithm for CTL

Cited by 35 publications

References 13 publications

Model Checking Software

Model Checking Software

Model Checking of Extended OCL Constraints on UML Models in SOCLe

LoLA A Low Level Analyser

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