Weixing Zhang

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.