From the 1 of 8 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
8 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…
LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages
Bowen Jiang, Nathan Hagel, Haowei Cheng +6
Model transformation languages (MTLs) are domain-specific languages for transforming models conforming to a given metamodel into other models, including textual models such as sour…
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…
QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiation
Haowei Cheng, Milhan Kim, Foutse Khomh +4
Automating requirements quality analysis remains challenging because multiple, often conflicting quality attributes must be balanced while preserving stakeholder intent. Existing L…
SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents
Hao Cheng, Changtao Miao, Tianle Song +21
Autonomous LLM agents increasingly operate in stateful environments where they access tools, files, memory, and external services. While such capabilities enable complex real-world…