Combining SysML and Marte/CCSL to Model Complex Electronic Systems

Khan, Aamir; Mallet, Frédéric; Rashid, Muhammad

doi:10.1109/icise.2016.13

Cited by 9 publications

(4 citation statements)

References 22 publications

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“…The interdependencies among those S/S properties are conditional dependencies [17], i.e., violations of security properties can lead to the violations on safety properties. The events associated with those S/S properties can be interpreted as logical clocks in PrCcsl, which provides a way to express S/S properties in the logical time manner [16]. Therefore, S/S properties can be interpreted as logical timing constraints, i.e., the temporal and causality clock relations in PrCcsl.…”

Section: R3mentioning

confidence: 99%

“…Tadl2 specializes the time model of MARTE, the UML profile for Modeling and Analysis of Real-Time and Embedded systems [30]. MARTE provides Ccsl, a Clock Constraint Specification Language, that supports specification of both logical and dense timing constraints, as well as functional causality constraints [16,23]. A probabilistic extension of Ccsl, called PrCcsl [14], has been proposed to formally specify timing constraints associated with stochastic properties in weakly-hard real-time systems [4], i.e., a bounded number of constraints violations would not lead to system failures when the results of the violations are negligible.…”

Section: Introductionmentioning

confidence: 99%

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Formal Verification of Safety & Security Related Timing Constraints for a Cooperative Automotive System

Huang

Kang

2019

Fundamental Approaches to Software Engineering

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Modeling and analysis of timing constraints is crucial in realtime automotive systems. Modern vehicles are interconnected through wireless networks which creates vulnerabilities to external malicious attacks. Violations of cyber-security can cause safety related accidents and serious damages. To identify the potential impacts of security related threats on safety properties of interconnected automotive systems, this paper presents analysis techniques that support verification and validation (V&V) of safety & security (S/S) related timing constraints on those systems: Probabilistic extension of S/S timing constraints are specified in PrCcsl (probabilistic extension of clock constraint specification language) and the semantics of the extended constraints are translated into verifiable Uppaal models with stochastic semantics for formal verification. A set of mapping rules are proposed to facilitate the translation. An automatic translation tool, namely ProTL, is implemented based on the mapping rules. Formal verification are performed on the S/S timing constraints using Uppaal-SMC under different attack scenarios. Our approach is demonstrated on a cooperative automotive system case study.

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Section: R3mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Formal Verification of Safety & Security Related Timing Constraints for a Cooperative Automotive System

Huang

Kang

2019

Fundamental Approaches to Software Engineering

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“…These integrations are possible thanks to the use of metamodeling languages enabling the translation of domain‐specific SysML profiles to specific simulation environments (e.g., Modelica, DEVS, etc.). These tools have allowed, in particular, purely discrete systems such as embedded real‐time applications to be fully conceptualized at the abstract SysML level, to be translated to simulation code, to be formally verified, and eventually, in part, to be synthesized to machine code . A review of the state of the art in executable SysML models is proposed in Nikolaidou et al…”

Section: Sysml‐based Mbsd Of Cbpsmentioning

confidence: 99%

Model‐based systems engineering for life‐sciences instrumentation development

Patou

Maier

Svendsen

et al. 2018

Systems Engineering

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Next-generation genome sequencing machines and Point-of-Care (PoC) in vitro diagnostics devices are precursors of an emerging class of Cyber-Physical Systems (CPS), one that harnesses biomolecular-scale mechanisms to enable novel "wet-technology" applications in medicine, biotechnology, and environmental science. Although many such applications exist, testifying the importance of innovative life-sciences instrumentation, recent events have highlighted the difficulties that designing organizations face in their attempt to guarantee safety, reliability, and performance of this special class of CPS. New regulations and increasing competition pressure innovators to rethink their design and engineering practices, and to better address the above challenges. The pace of innovation will be determined by how organizations manage to ensure the satisfaction of aforementioned constraints while also streamlining product development, maintaining high cost-efficiency and shortening time-to-market. Model-Based Systems Engineering provides a valuable framework for addressing these challenges. In this paper, we demonstrate that existing and readily available model-based development frameworks can be adopted early in the life-sciences instrumentation design process. Such frameworks are specifically helpful in describing and characterizing CPS including elements of a biological nature both at the architectural and performance level. We present the SysML model of a smartphone-based PoC diagnostics system designed for detecting a particular molecular marker. By modeling components and behaviors spanning across the biological, physical-nonbiological, and computational domains, we were able to characterize the important systemic relations involved in the specification of our system's Limit of Detection. Our results illustrate the suitability of such an approach and call for further work toward formalisms enabling the formal verification of systems including biomolecular components. K E Y W O R D Scyber-physical systems, life-sciences, model-based systems engineering, model-based systems design, sensitivity analysis, SysML 98

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“…TADL2 specializes the time model of MARTE, the UML profile for Modeling and Analysis of Real-Time and Embedded systems [9]. MARTE provides CCSL [10], [11], which is the clock constraint specification language for specification of temporal constraints and functional causality properties [12]. In CCSL, time can be either chronometric (i.e., associated with physical time) or logical (i.e., related to events occurrences), which are represented by dense clocks and logical clocks, respectively.…”

Section: Introductionmentioning

confidence: 99%

Formal Verification of Dynamic and Stochastic Behaviors for Automotive Systems

Huang

Tian

Kang

2019

2019 24th International Conference on Engineering of Complex Computer Systems (ICECCS)

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Formal analysis of functional and non-functional requirements is crucial in automotive systems. The behaviors of those systems often rely on complex dynamics as well as on stochastic behaviors. We have proposed a probabilistic extension of Clock Constraint Specification Language, called PrCCSL, for specification of (non)-functional requirements and proved the correctness of requirements by mapping the semantics of the specifications into UPPAAL models. Previous work is extended in this paper by including an extension of PrCCSL, called PrCCSL * , for specification of stochastic and dynamic system behaviors, as well as complex requirements related to multiple events. To formally analyze the system behaviors/requirements specified in PrCCSL * , the PrCCSL * specifications are translated into stochastic UPPAAL models for formal verification. We implement an automatic translation tool, namely ProTL, which can also perform formal analysis on PrCCSL * specifications using UPPAAL-SMC as an analysis backend. Our approach is demonstrated on two automotive systems case studies.

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Combining SysML and Marte/CCSL to Model Complex Electronic Systems

Cited by 9 publications

References 22 publications

Formal Verification of Safety & Security Related Timing Constraints for a Cooperative Automotive System

Formal Verification of Safety & Security Related Timing Constraints for a Cooperative Automotive System

Model‐based systems engineering for life‐sciences instrumentation development

Formal Verification of Dynamic and Stochastic Behaviors for Automotive Systems

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