Weixing Zhang

Late requirements can double code invalidation, revealing a hidden cost in coding-agent sessions that could derail project timelines and budgets.

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.