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Model-based safety and assessment : 7th International Symposium, IMBSA 2020, Lisbon, Portugal, September 14-16, 2020, Proceedings / Marc Zeller, Kai Höfig (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12297. | LNCS sublibrary. SL 2, Programming and software engineering.Publication details: Cham : Springer, 2020.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030589202
  • 303058920X
Other title:
  • IMBSA 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: Model-based safety and assessment.DDC classification:
  • 005.101/5113 23
LOC classification:
  • QA76.63
Online resources: Summary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

"Due to COVID-19 the conference could not take place as planned in Lisbon, Portugal. Instead IMBSA 2020 took place as a virtual conference."

Includes author index.

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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