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Model-Based Testing for Avionics Systems

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Formal Methods (FM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10951))

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Abstract

Model-based testing is considered state-of-the-art in verification and validation of safety-critical systems. This paper discusses some experiences of applying the model-based testing tool RTT-MBT for the evacuation function of an aircraft cabin controller. One challenge of this project was the parametric design of the software, which allows to tailor the software to a certain aircraft configuration via application parameters. Further challenges consisted of connecting hardware signals of the system under test to abstract model variables, and handling incremental test model development during an ongoing test campaign. We discuss solutions that we developed to successfully conduct this test campaign.

The work presented in this contribution has been partially funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) in the context of project STEVE, grant application 20Y1301P.

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References

  1. Lapschies, F.: SONOLAR homepage, June 2014. http://www.informatik.uni-bremen.de/agbs/florian/sonolar/

  2. Peleska, J., Vorobev, E., Lapschies, F.: Automated test case generation with SMT-solving and abstract interpretation. In: Bobaru, M., Havelund, K., Holzmann, G.J., Joshi, R. (eds.) NFM 2011. LNCS, vol. 6617, pp. 298–312. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20398-5_22

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  3. Verified Systems International GmbH: RTT-MBT: Model-Based Testing. https://www.verified.de/products/model-based-testing

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Correspondence to Jörg Brauer .

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Brauer, J., Schulze, U. (2018). Model-Based Testing for Avionics Systems. In: Havelund, K., Peleska, J., Roscoe, B., de Vink, E. (eds) Formal Methods. FM 2018. Lecture Notes in Computer Science(), vol 10951. Springer, Cham. https://doi.org/10.1007/978-3-319-95582-7_40

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  • DOI: https://doi.org/10.1007/978-3-319-95582-7_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95581-0

  • Online ISBN: 978-3-319-95582-7

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