Software Engineering Research Center
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Henry Muccini
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Software Architecture and Machine Learning (Dagstuhl Seminar 23302)
Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience
FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems
A Machine Learning Approach to Service Discovery for Microservice Architectures
A Service for Supporting Digital and Immersive Cultural Experiences
A User-driven Adaptation Approach for Microservice-based IoT Applications
Architecture Design for Human-Driven Systems
Human Behavior-Oriented Architectural Design
Software Architecture for ML-based Systems: What Exists and What Lies Ahead
Software Architecture for ML-based Systems: What Exists and What Lies Ahead
Data-driven Adaptation in Microservice-based IoT Architectures
Leveraging Machine Learning Techniques for Architecting Self-Adaptive IoT Systems
Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems
Towards Self-Learnable Software Architectures
A Machine Learning-Driven Approach for Proactive Decision Making in Adaptive Architectures
ArchLearner: leveraging machine-learning techniques for proactive architectural adaptation
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