FASTEN.Safe: A Model-Driven Engineering Tool to Experiment with Checkable Assurance Cases-Reference-Cited by-同舟云学术

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FASTEN.Safe: A Model-Driven Engineering Tool to Experiment with Checkable Assurance Cases

Published:2020 Issue: Volume: Page:298-306
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Cârlan Carmen,Ratiu Daniel

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-54549-9_20

Reference10 articles.

1. GSN community standard version 1, November 2011

2. Lecture Notes in Computer Science;T Arts,2014

3. Calinescu, R., Weyns, D., Gerasimou, S., Iftikhar, M.U., Habli, I., Kelly, T.: Engineering trustworthy self-adaptive software with dynamic assurance cases. IEEE Trans. Softw. Eng. 44(11), 1039–1069 (2018)

4. Lecture Notes in Computer Science;S Cruanes,2013

5. de la Vara, J.L., Parra, E., Ruiz, A., Gallina, B.: The amass tool platform: an innovative solution for assurance and certification of cyber-physical systems. In: Proceedings of the 26th International Conference on Requirements Engineering: Foundation for Software Quality, vol. 2584. CEUR-WS (2020)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lessons Learned Building a Tool for Workflow⁺;2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS);2023-10-01

2. FASTEN: An Extensible Platform to Experiment with Rigorous Modeling of Safety-Critical Systems;Domain-Specific Languages in Practice;2021

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