Model-Based Safety and Assessment [electronic resource] : 7th International Symposium, IMBSA 2020, Lisbon, Portugal, September 14-16, 2020, Proceedings / edited by Marc Zeller, Kai Höfig.
Contributor(s): Zeller, Marc [editor.]
| Höfig, Kai [editor.] | SpringerLink (Online service).
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BookSeries: Programming and Software Engineering: 12297Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XI, 255 p. 47 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030589202.Subject(s): Computer science | Artificial intelligence | Application software | Computer engineering | Computer networks | Computer Science Logic and Foundations of Programming | Artificial Intelligence | Computer and Information Systems Applications | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the proceedings of the 7th International Symposium on Model-Based Safety and Assessment, IMBSA 2020, held in Lisbon, Portugal, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 15 revised full papers and 4 short papers presented were carefully reviewed and selected from 30 initial submissions. The papers are organized in topical sections on safety models and languages; state-space modeling; dependability analysis process; safety assessment in automotive domain; AI and safety assurance.
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This book constitutes the proceedings of the 7th International Symposium on Model-Based Safety and Assessment, IMBSA 2020, held in Lisbon, Portugal, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 15 revised full papers and 4 short papers presented were carefully reviewed and selected from 30 initial submissions. The papers are organized in topical sections on safety models and languages; state-space modeling; dependability analysis process; safety assessment in automotive domain; AI and safety assurance.
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