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@PHDTHESIS{Meyer:1015688,
      author       = {Meyer, Max-Arno},
      othercontributors = {Andert, Jakob Lukas and Pischinger, Stefan},
      title        = {{S}zenariobasierte {S}ystems-{E}ngineering-{M}ethodik zur
                      {S}ystem- und {T}estfallspezifikation für automatisierte
                      {F}ahrfunktionen},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-06527},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, Rheinisch-Westfälische Technische
                      Hochschule Aachen, 2025},
      abstract     = {The introduction of vehicles featuring higher degrees of
                      automation presents the automotive industry with major
                      technical and methodological challenges. For example,
                      ensuring SOTIF (Safety of the Intended Functionality)
                      requires the evaluation of system behavior in a
                      high-dimensional, infinitely diverse space of possible
                      driving scenarios. In comparison with test methods of
                      varying degrees of virtualization for scenario exploration,
                      scenario-based system and test specification have been less
                      comprehensively researched to date. In particular, there are
                      research gaps in the integration and traceability of system
                      specification, scenario description and SOTIF argument as
                      well as test specification. While model-based systems
                      engineering (MBSE) is an established means of managing
                      complexity and increasing traceability and automation
                      potential, existing methods do not support scenario-based
                      specification or SOTIF analysis. Current test case
                      specifications for automated driving functions (ADF) are
                      often tool- and project-specific, not machine-readable and
                      require a lot of manual effort to create, which hinders the
                      exchange, reuse and automation of test cases across all test
                      methods. In this thesis, a scenario-based systems
                      engineering methodology for the specification of ADF is
                      developed. A central aspect is the extension of the MBSE
                      procedure Compositional Unified System-Based Engineering by
                      scenario definition and detailing as well as the modeling of
                      scenario sequences and parameter spaces, associated
                      variation points in system behavior and chains of evidence
                      for SOTIF argumentation. Another aspect is the development
                      of a test case specification format for scenario-based
                      testing, which for the first time combines the use of
                      standardized scenario data in preconditions, test sequences
                      and pass/fail criteria with an ISO/IEC/IEEE-29119-compliant,
                      tool-independent data structure for test cases. Both aspects
                      are linked by generating scenario-based test cases from the
                      MBSE model. The application of this methodology including
                      MBSE, test case derivation in the developed format as well
                      as subsequent test case implementation and execution by
                      means of simulation-based scenario variation is demonstrated
                      using the example of an ADF sub-function for autonomous
                      highway access in a prototype operational environment. This
                      demonstrates the traceability achieved with the new MBSE
                      method between the system, scenario and test case
                      specification, the resulting test space restriction as well
                      as the tool independence and automation potential of the
                      developed test case specification format. The novel systems
                      engineering methodology thus addresses identified research
                      gaps and improves quality assurance and efficiency in the
                      scenario-based ADF development.},
      cin          = {412330},
      ddc          = {620},
      cid          = {$I:(DE-82)412330_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-06527},
      url          = {https://publications.rwth-aachen.de/record/1015688},
}