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@PHDTHESIS{Kugler:959607,
      author       = {Kugler, Christopher},
      othercontributors = {Kowalewski, Stefan and Pischinger, Stefan},
      title        = {{S}ystematic derivation of feature-driven and risk-based
                      test strategies for automotive applications},
      volume       = {2023,06},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2023-05715},
      series       = {Aachener Informatik-Berichte (AIB)},
      pages        = {1 Online-Ressource : Illustrationen, Diagramme},
      year         = {2023},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, RWTH Aachen University, 2023},
      abstract     = {The automotive industry is currently characterized by a
                      disruptive change in terms of electro-mobility and highly
                      autonomous driving. Similarly, new mobility concepts pose
                      particular challenges for quality assurance measures in
                      automotive product development. Traditional,
                      experience-based approaches for deriving quality assurance
                      strategies do not address these challenges and lead to
                      potentially high failure rates during product operation.
                      Therefore, a risk-based approach for the derivation of
                      feature-specific test strategies is proposed in this thesis,
                      which enables an objective definition of test-end criteria
                      and, through appropriate prioritization, an increase in the
                      efficiency and effectiveness of performed verification and
                      validation activities. On the basis of a two-stage risk
                      assessment, quality assurance measures can initially be
                      defined in early project phases and then be refined for
                      individual product features as soon as the required
                      information is available. A framework for the derivation of
                      test strategies is presented, which considers the current
                      state of the art with regard to functional safety and
                      distinguishes the applied acceptance thresholds for test-end
                      criteria based on previously defined risk classes. The
                      presented approach is evaluated in context of series
                      development projects, where the significance of the risk
                      assessment is verified through data analysis. The test
                      strategy applied in those projects is retrospectively
                      evaluated and compared against the risk-based approach
                      presented in this thesis in terms of achieved effectiveness
                      and efficiency. Finally, two different concepts for
                      measuring quality of automotive products are introduced and
                      suitable product release criteria are defined.},
      cin          = {122810 / 120000},
      ddc          = {004},
      cid          = {$I:(DE-82)122810_20140620$ / $I:(DE-82)120000_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2023-05715},
      url          = {https://publications.rwth-aachen.de/record/959607},
}