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Karlsruhe Institute of Technology, Karlsruhe, 76131, Germany
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JDomInO keeps Java code and domain models in sync, preventing the costly drift that undermines effective Domain-Driven Design.
Semantic correctness in LLM-generated multi-level models is only partially achieved, revealing significant gaps in their understanding of complex semantics.
AI coding agents are reshaping open-source ecosystems by diluting human participation while increasing the burden on code review processes.
Multi-level modelling slashes post-change inconsistencies by unifying artefacts, outperforming traditional two-level modelling in software maintenance scenarios.
Few-shot prompting boosts syntactic quality of LLM-generated model transformation languages, but semantic correctness remains a challenge.
Bounded Context violations in DDD projects are shown to significantly hinder maintenance quality, revealing a critical challenge for practitioners.