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* Einladung
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* Informatik-Oberseminar
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Zeit: Freitag, 19. Mai 2023, 13.00 Uhr
Ort: Seminarraum 2202, Hauptbau, Ahornstr. 55
Referent: Christopher Kugler, M.Sc.
Ehem. Lehrstuhl Informatik 11
Thema: Systematic Derivation of Feature-driven and Risk-based Test Strategies for Automotive Applications
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 the 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 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
profound product release criteria are defined.
Es laden ein: die Dozentinnen und Dozenten der Informatik