Seifermann, StephanYurchenko, KaterynaKramer, Max E.2023-03-022023-03-022016https://dl.gi.de/handle/20.500.12116/40622Determining privacy properties of software systems is essential for certification in certain domains and gains importance for users of software services. Late discovery of degraded privacy properties during development phases makes fixing issues hard and expensive. Approaches that focus on architectural privacy predictions are rare and often do not integrate well with existing tools for performance predictions so that trade-off analyses are not supported. In this paper, we suggest extending the Palladio Component Model (PCM) by means of modeling privacy requirements to support privacy predictions, code generation, and verification, as well as trade-off decisions. The goal of this integration with PCM is to support the development of quality-aware component-based architectures: Our approach will allow trade-offs for privacy and performance properties during the early design and will ease the verification of the implementation.enText/Journal Article0720-8928