Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns

R. Trentinaglia, in: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, ACM, 2022.

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Trentinaglia, Roman
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Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
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Trentinaglia R. Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns. In: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. ACM; 2022. doi:10.1145/3550356.3558508
Trentinaglia, R. (2022). Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns. Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. https://doi.org/10.1145/3550356.3558508
@inproceedings{Trentinaglia_2022, title={Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns}, DOI={10.1145/3550356.3558508}, booktitle={Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}, publisher={ACM}, author={Trentinaglia, Roman}, year={2022} }
Trentinaglia, Roman. “Deriving Model-Based Safety and Security Assurance Cases from Design Rationale of Countermeasure Patterns.” In Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. ACM, 2022. https://doi.org/10.1145/3550356.3558508.
R. Trentinaglia, “Deriving model-based safety and security assurance cases from design rationale of countermeasure patterns,” 2022, doi: 10.1145/3550356.3558508.
Trentinaglia, Roman. “Deriving Model-Based Safety and Security Assurance Cases from Design Rationale of Countermeasure Patterns.” Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, ACM, 2022, doi:10.1145/3550356.3558508.

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