Software teams routinely sketch and draw informal diagrams to capture design intent, yet these artifacts rarely evolve into conformant models that automated tooling can process or that can support later stages of development. This tension motivates flexible modeling, which aims to bridge free-form sketching and canonic...
Cecilia Eklund, Tom Jonsson, Riccardo Rubei et al.· Proceedings of the ACM/IEEE...· 0 citations
Model transformation is a core model-driven engineering (MDE) operation in which reproducibility is expected: under fixed metamodels, source model, and transformation rules, a deterministic engine should produce a stable target model. Large Language Models (LLMs) are increasingly explored for MDE tasks, but evaluations...
Riccardo Rubei, Alessio Bucaioni, A. Di Salle· Proceedings of the ACM/IEEE...· 0 citations
It is concluded that LLMs can be effective when they use external FHE modules and the most viable deployment model is one where the LLM manages the workflow: receiving encrypted requests, invoking the FHE runtime, and returning encrypted results-while the actual cryptographic computation is handled by an external modul...
Anja Ðurđevac, Antonio Cicchetti, Riccardo Rubei· 0 citations
The findings suggest that LLM evolution translated to meaningful improvements on structured modeling tasks for some of the families, but that progress is neither universal nor monotonic.
Petar Kovaˇcevi´c, Antonio Cicchetti, Riccardo Rubei· 0 citations
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