Traffic Sequence Charts for the ENABLE-S3 Test Architecture

Author:

Damm Werner,Möhlmann Eike,Rakow Astrid

Publisher

Springer International Publishing

Reference14 articles.

1. Damm, W., Galbas, R.: Exploiting learning and scenario-based specification languages for the verification and validation of highly automated driving. In: Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems, pp. 39–46. ACM, New York (2018)

2. Damm, W., Harel, D.: LSCs: Breathing life into message sequence charts. Formal Methods Syst. Des. 19(1), 45–80 (2001)

3. Damm, W., Heidel, P.: Recommendations of the SafeTRANS working group on highly autonomous systems (2017). www.safetrans-de.org/en/Latest-reports/management-summary-for-highly-automated-systems/192

4. Damm, W., Kemper, S., Möhlmann, E., Peikenkamp, T., Rakow, A.: Traffic sequence charts—from visualization to semantics. Reports of SFB/TR 14 AVACS 117, SFB/TR 14 AVACS, 10 2017

5. Damm, W., Kemper, S., Möhlmann, E., Peikenkamp, T., Rakow, A.: Traffic sequence charts—a visual language for capturing traffic scenarios. In: Embedded Real Time Software and Systems - ERTS2018 (2018)

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