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Found 3 papers, 1 papers with code
Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study
In our exploratory study, we utilize GPT and T5-based models with 0-shot, few-shot, and fine-tuning approaches to generate the Decision of an ADR given its Context.
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching
As a solution, we propose the concept of a Machine Learning Model Balancer, focusing on managing uncertainties related to ML models by using multiple models.
Software Architecture for ML-based Systems: What Exists and What Lies Ahead
The increasing usage of machine learning (ML) coupled with the software architectural challenges of the modern era has resulted in two broad research areas: i) software architecture for ML-based systems, which focuses on developing architectural techniques for better developing ML-based software systems, and ii) ML for software architectures, which focuses on developing ML techniques to better architect traditional software systems.
