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Found 5 papers, 2 papers with code
A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems
In this paper, we propose to extend the state of the art on architecture framework by providing a mathematical model for system architectures, which is scalable and supports co-evolution of different aspects for example of an AI system.
Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics
Development of the intelligent autonomous robot technology presupposes its anticipated beneficial effect on the individuals and societies.
CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems
However, they have the following limitations.
Taming Uncertainty in the Assurance Process of Self-Adaptive Systems: a Goal-Oriented Approach
In this work, we propose a goal-oriented assurance process that supports taming different sources (within different classes) of uncertainty from defining the goals at design time to performing self-adaptation at runtime.
Software Engineering
A Learning Approach to Enhance Assurances for Real-Time Self-Adaptive Systems
Despite all the efforts on assurances for self-adaptive systems at design or runtime, there is still a gap on verifying and validating real-time constraints accounting for context variability.
Software Engineering
