From the 1 of 5 linked papers with an AI index.
5 papers
Can LLMs Learn and Apply Multi-Level Modelling Semantics? A First Empirical Study
Yuhong Fu, Weixing Zhang, Bowen Jiang +3
The paper empirically evaluates whether commercial large language models can generate correct multi-level models, finding they achieve reasonable syntactic accuracy but only partia…
Two-Level vs. Multi-Level Modelling: An Empirical Study of Cascading Maintenance Burden
Yuhong Fu, Weixing Zhang, Bowen Jiang +5
When a core definition changes, every dependent artefact must be updated, a cascading problem central to software maintenance. In Model-Driven Engineering (MDE), the dominant two-l…
Domain-Driven Design in Practice: A Mining Study of Maintenance and Evolution in Open-Source Repositories
Weixing Zhang, Bowen Jiang, Yuhong Fu +3
Domain-Driven Design (DDD) is an influential software development methodology that structures software around business domain complexity through tactical building blocks such as En…
D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting
Huanli Gong, Zhipeng Wei, Yu Fu +4
Multi-turn jailbreak attacks pose a growing threat to large language model (LLM) safety because they exploit feedback from auxiliary judge models to iteratively refine prompts towa…
Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation
Weixing Zhang, Bowen Jiang, Yuhong Fu +3
Software languages evolve over time for reasons such as feature additions. When grammars evolve, textual instances that originally conformed to them may become outdated. While mode…