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

使用人工智能技术基于需求半自动生成软件架构候选方案，并通过定量分析和架构权衡分析方法进行自动评估和交叉分析，以提高生成架构模型的质量、效率和有效性。