Assurance via model transformations and their hierarchical refinement

Diskin, Zinovy; Maibaum, Tom; Wassyng, Alan; Wynn-Williams, Stephen; Lawford, Mark

doi:10.1145/3239372.3239413

Cited by 15 publications

(8 citation statements)

References 13 publications

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“…For formal verification of AC claims, (Diskin et al, 2018) and (Gleirscher et al, 2019) both generate assertions by formalizing claims. The advantage is the rigorous mathematical refinement checking on the inference by formal verification.…”

Section: Ac Generation and Verificationmentioning

confidence: 99%

Model-based Generation of Hazard-driven Arguments and Formal Verification Evidence for Assurance Cases

Yan

Foster

Habli

et al. 2022

Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development

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Assurance cases (ACs) are an established practice for arguing confidence in critical system properties such as safety and security in high-risk industries. ACs use system artifacts to argue the aforementioned properties. Due to the iterative nature of system development, we need to update ACs to maintain assurance validity as a system evolves. For example, a changed design or an added hazard would result in re-evaluation of claims or a new claim to be verified. Thus, the generation and maintenance of ACs is a labour-intensive process. With the growing application of Model-based Engineering (MBE) in system development, it is beneficial to generate ACs from design models because this captures traceability, and enables automatic AC creation and update driven by model modification. Accordingly, the contribution of this paper is an automatic approach to AC generation and assembly from both unstructured design artifacts and UML-like design models within Eclipse. This approach also supports AC evidence generation by formal verification facilitated by automatically generated assertions. The realization of AC assembly and verification is supported by model query and model transformation. We apply our approach to an autonomous underwater robot with the RoboChart robotics modelling language.

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Section: Ac Generation and Verificationmentioning

confidence: 99%

Model-based Generation of Hazard-driven Arguments and Formal Verification Evidence for Assurance Cases

Yan

Foster

Habli

et al. 2022

Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development

View full text Add to dashboard Cite

show abstract

“…Previous approaches for single system assurance [23,43,39] frame this type of problem as the central activity in Model-Based Engineering (MBE) paradigm, namely the instantiation of a meta-model into a model. While such approaches also promise high levels of automation, they may not be always applicable because the engineering context might not be fully MBE compliant.…”

Section: Feasibility Of Producing the Required Evidencementioning

confidence: 99%

Product-line assurance cases from contract-based design

Nešić

Nyberg

Gallina

2021

Journal of Systems and Software

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Assurance cases are used to argue in a structured, and evidence-supported way, that a property such as safety or security is satisfied by a system. In some domains however, instead of single systems, product lines with many system-variants are engineered, to satisfy the needs of different customers. In such context, singlesystem methods for assurance-case creation suffer from scalability issues because the underlying assumption is that the evidence and arguments can be created per system variant. This paper presents a novel method for product-line assurance-case creation where all the arguments and the evidence are created without analyzing each system variant. Consequently, the effort to create an assurance case scales with the complexity of system variants, instead with their number. The method is based on a contract-based design framework for cyber-physical systems, which is extended to define the conditions under which all system variants satisfy a particular property. These conditions are used to define an assurance-case pattern, which can be instantiated for arbitrary product lines. Moreover, the defined pat-PRODUCT-LINE ASSURANCE CASES tern is modular to enable step-wise assurance-case creation. Finally, an exploratory case study is performed on a real product-line from the heavy-vehicle manufacturer Scania to evaluate the applicability of the presented method.

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“…For FM verification of AC claims, Diskin et al [13] and Gleirscher et al [14] both propose to formalize claims as assertions on system formal models, but the process automation is not addressed. Cârlan et al [15] focuse on the consistency checking between system data and AC elements, and exploits model checking as one of the claim verification methods.…”

Section: Related Workmentioning

confidence: 99%

Generation and Verification of Executable Assurance Case by Model-based Engineering

Yan

2021

2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)

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Assurance Cases (ACs) are used for justifying system confidence in important properties including safety, reliability, etc. Their manual generation is time-consuming and prone to errors. Also, AC update calls for more labour. However, there is not an automatic solution to guide the whole engineering process of AC generation and verification process. An executable AC is machine readable and checkable, and brings the benefit of efficiency and confidence of AC evolution. Thus, in this PhD, the Model-based Engineering (MBE) techniques are exploited for an automatic process for executable ACs. The first aim is to generate AC models automatically from system artefacts. Currently available approaches are usually constrained to specific modelling environments, or address only system model artefacts, or do not cover informal and unstructured artefacts. The second aim is to automate the evidence generation using formal verification. FM provides a rigorously mathematical proof. But current solutions to create formal assertions are manual and expertise-requiring. The paper discusses on the technical problem, and the proposed approach.

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Assurance via model transformations and their hierarchical refinement

Cited by 15 publications

References 13 publications

Model-based Generation of Hazard-driven Arguments and Formal Verification Evidence for Assurance Cases

Model-based Generation of Hazard-driven Arguments and Formal Verification Evidence for Assurance Cases

Product-line assurance cases from contract-based design

Generation and Verification of Executable Assurance Case by Model-based Engineering

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