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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as retrainable ML models, LLMs
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the integration of AI components transforms the nature of software systems (SE4AI). From an architectural perspective, the research investigates how the inclusion of AI elements—such as retrainable ML models, LLMs
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, with a focus on handling non-determinism, model uncertainty, and changing data distributions in both pre-deployment and runtime contexts. Investigating runtime monitoring, testing, and explainability
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, with a focus on handling non-determinism, model uncertainty, and changing data distributions in both pre-deployment and runtime contexts. Investigating runtime monitoring, testing, and explainability