Automatic dependability modelling of systems described in UML
An abstract is not ...
I. Majzik, BONDAVALLI, ANDREA
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Data Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams
Large language models (LLMs) excel at generating code from natural language (NL) descriptions. However, the plain textual descriptions are inherently ambiguous and often fail to capture complex requirements like intricate system behaviors, conditional logic, and architectural constraints; implicit data dependencies in service-oriented architectures are
Mao, Wenxin +9 more
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AbstractUML sequence diagrams are intuitively simple and can be understood by most stakeholders, including end-users, decision makers, engineers and other parties involved in a risk analysis. Building on UML sequence diagrams and trying to maintain their intuitive simplicity we propose a language for modeling systems where the trust considerations of ...
Refsdal, Atle, Stølen, Ketil
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Entropy as a Measure of Consistency in Software Architecture. [PDF]
Niepostyn SJ, Daszczuk WB.
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MedicaidJS: a FAIR approach to real-time drug analytics. [PDF]
Agarwal K +3 more
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A Framework for Cybersecurity Requirements Management in the Automotive Domain. [PDF]
Luo F, Jiang Y, Wang J, Li Z, Zhang X.
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Intelligent Decision-Support System for Epidemiological Diagnostics. II. Information Technologies Development*, *. [PDF]
Bazilevych KO +4 more
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A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy. [PDF]
Luo Y +7 more
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Machine learning for microscopy data analytics targeting real-time optical characterization of semiconductor nanocrystals. [PDF]
Mukherjee A +16 more
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