Verifying SysML activity diagrams using formal transformation to Petri nets

Huang, Edward; McGinnis, Leon F.; Mitchell, Steven W.

doi:10.1002/sys.21524

Cited by 34 publications

(10 citation statements)

References 47 publications

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“…These simulations are all iterative and difficult to manage, which leads to the low efficiency of the whole verification processes for the AI-enabled CPS [29]. Researchers provide solutions for improving the consistency and traceability management for automated verifications, such as Huang et al [30] and Kapos et al [31]. Bagnato et al [32] proposed a tool-chain to support CPS design and co-simulation using a developed model-transformer.…”

Section: A Literature Reviewmentioning

confidence: 99%

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Chen

Wang

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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Cyber-physical systems (CPSs) integrate heterogeneous systems and process sensor data using digital services. As the complexity of CPS increases, it becomes more challenging to efficiently formalize the integrated multidomain views with flexible automated verification across the entire lifecycle. This article illustrates a model-based systems engineering tool-chain to support CPS development with an emphasis on automated parameter value selection for co-simulation. First, a domain-specific modeling approach is introduced to support the formalizations of CPS artifacts, development processes, and simulation configurations. The domain-specific models are used as the basis to generate a Web-based process management system for automated parameter value selections, which coordinates Open Services for Lifecycle Collaboration services of development information and technical resources (models, data, and tools) in order to support automated co-simulation. The services are deployed by a service orchestrator based on a decision-making algorithm for parameter value selection. Finally, developers make use of the WPMS to implement simulations and to select system parameter values for co-simulation automatically. The approach is illustrated by a case study on auto-braking system development and we evaluate the efficiency of this tool-chain by both qualitative and quantitative methods. The results show that parameter values are selected more efficiently and effectively when implementing co-simulations using our tool-chain. Index Terms-Automated parameter value selection, cyberphysical systems (CPSs), model-based systems engineering (MBSE).

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Section: A Literature Reviewmentioning

confidence: 99%

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Chen

Wang

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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“…The syntax can be extended through profiles, and several security profiles have been released [34][35][36] . A popular research category has been to focus on transforming SysML models so that specialists tools for security analysis can supplement the source model [37][38][39] . However, using a single integrated model with customized views allows information captured using informal methods to feed more detailed analysis for high priority issues without additional tools.…”

Section: Threat Modelling With Sysmlmentioning

confidence: 99%

Serious Games with SysML: Gamifying Threat Modelling in a Small Business Setting

Georgsen

Køien

2022

INCOSE International Symp

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This paper describes using casual games to capture and disseminate expert security knowledge with a digital model at a small company. Most companies in the global supply chain are Very Small Entities (VSE), meaning they employ five (5) to twenty‐five (25) people. These companies represent a risk because they have little to no security proficiency and limited resources and incentive to prioritize system security. Moreover, this is a hidden risk because the companies higher up in the supply chain rely on contractual mechanisms to enforce compliance with security requirements. Small companies rely on informal methods in their daily work and are resistant to change. Threat modelling in the context of Agile Model‐Based Systems Engineering (AMBSE) can provide VSEs with a structure that allows them to retain their informal operational agility. When modelling using games, the security expert plays the dual role of modeler and educator, and the engineering team is gaining security proficiency, improving the quality of both their current and future work. Players reported improved understanding of other stakeholders' perspectives. Agility, proficiency, and stakeholder alignment are among the critical foundation concepts identified by the INCOSE led Future of Systems Engineering Initiative (FuSE) to improve system security.

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“…A survey of the literature indicates that checking UML and SysML diagrams against safety properties has been addressed with respect to activity diagrams [6,7] and state machine diagrams [8][9][10], respectively. This section covers the two families of diagrams although the safety property verification approach discussed later on in this paper exclusively applies to state machine diagrams.…”

Section: A Formal Verification Of Safety Properties In Uml and Sysml Modelsmentioning

confidence: 99%

“…Formal verification of UML and SysML diagrams commonly relies on translating one UML or SysML model into a formal model [11]. Translation from UML/SysML to state/transition models has been formalized in the context of Petri nets [7,8,12,13], automata for NuSMV model checker [14], timed automata [9] for UPPAAL model checker, hybrid automata [15], model checker NuSMV [16], probabilistic model checker PRISM [6,15], and a theorem prover [17].…”

Section: A Formal Verification Of Safety Properties In Uml and Sysml Modelsmentioning

confidence: 99%

Checking SysML Models Against Safety and Security Properties

Saqui-Sannes

Apvrille

Vingerhoeds

2021

Journal of Aerospace Information Systems

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Verifying SysML activity diagrams using formal transformation to Petri nets

Cited by 34 publications

References 47 publications

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Serious Games with SysML: Gamifying Threat Modelling in a Small Business Setting

Checking SysML Models Against Safety and Security Properties

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