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Designing domain models and software architectures represents a significantchallenge in software development, as the resulting architectures play a vitalrole in fulfilling the system's quality of service. Due to time pressure,architects often model only one architecture based on their known limiteddomain understanding, patterns, and experience instead of thoroughly analyzingthe domain and evaluating multiple candidates, selecting the best fitting.Existing approaches try to generate domain models based on requirements, butstill require time-consuming manual effort to achieve good results. Therefore,in this vision paper, we propose a method to generate software architecturecandidates semi-automatically based on requirements using artificialintelligence techniques. We further envision an automatic evaluation andtrade-off analysis of the generated architecture candidates using, e.g., thearchitecture trade-off analysis method combined with large language models andquantitative analyses. To evaluate this approach, we aim to analyze the qualityof the generated architecture models and the efficiency and effectiveness ofour proposed process by conducting qualitative studies.

From Requirements to Architecture: An AI-Based Journey to Semi-Automatically Generate Software Architectures