Weber, SebastianTaghavi, BaharehHerrmann, Andrea2023-11-302023-11-3020230720-8928https://dl.gi.de/handle/20.500.12116/43229Predicting the fulfillment of quality requirements, e.g., performance, is important during design and implementation of a software system to ensure its implementation can meet these requirements. Model-based analysis is a common approach to get such predictions. It usually requires a trade-off between the accuracy of the result and the execution time of the analysis, because resources for the execution of the analysis are limited, but some components might require a more accurate analysis. When looking at traditional model-based analyses, like the Palladio approach, the user can decide this trade-off and with it the level of granularity of the model and simulation only prior to, but not throughout, the simulation execution. In addition, the complexity and heterogeneity of systems is increasing which complicates modelling and analysis on a single level further. This paper presents a concept for the extension of the Palladio approach to support modelling and analysis of systems on multiple levels of abstraction to overcome these limitations.enSPPperformancepredictionmodel-based analysisPalladiosimulationText/Conference Paper