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Formal Techniques for Safety-Critical Systems: 7th International Workshop, Ftscs 2019, Shenzhen, China, November 9, 2019, Revised Selected Papers
Tip copertă:
Moale
Număr de pagini:
141
This book constitutes the refereed proceedings of the 7th International Workshop on Formal Techniques for Safety-Critical Systems, FTSCS 2019, held in Shenzhen, China, in November 2019.The 6 revised f ...Descriere completă
264,60 RON
Informații detaliate
| ISBN | 9783030469016 |
|---|---|
| Autor | Hasan Osman |
| Editura | Springer Nature |
| Tip copertă | Paperback |
| Anul publicării | 2020 |
| Număr de pagini | 141 |
Descrierea cărții
This book constitutes the refereed proceedings of the 7th International Workshop on Formal Techniques for Safety-Critical Systems, FTSCS 2019, held in Shenzhen, China, in November 2019.
The 6 revised full papers presented were carefully reviewed and selected from 17 submissions. Additionally, the volume presents 1 invited paper, 1 tool paper, and 1 work in progrerss. The papers are focused on the topics of the use of formal methods for analyzing safety-critical systems
methods, techniques and tools to support automated analysis, certication, debugging, etc., of complex safety/QoS-critical systems
analysis methods that address the limitations of formal methods in industry (usability, scalability, etc.)
formal analysis support for modeling languages used in industry
code generation from validated models.
The 6 revised full papers presented were carefully reviewed and selected from 17 submissions. Additionally, the volume presents 1 invited paper, 1 tool paper, and 1 work in progrerss. The papers are focused on the topics of the use of formal methods for analyzing safety-critical systems
methods, techniques and tools to support automated analysis, certication, debugging, etc., of complex safety/QoS-critical systems
analysis methods that address the limitations of formal methods in industry (usability, scalability, etc.)
formal analysis support for modeling languages used in industry
code generation from validated models.
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