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From What to How: Bridging User Requirements with Software Development Using Large Language Models
Xiao He, Ru Chen, Jialun Cao
Recently, large language models (LLMs) are extensively utilized to enhance development efficiency, leading to numerous benchmarks for evaluating their performance. However, these b…
A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
Xiao He, Ru Chen, Zeqing Zhang +2
Template-based and LLM-based code generation are both key enablers of automated software development. The former provides correctness guarantees but are rigid for complex requireme…
A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question Decomposition
Ru Chen, Jingwei Shen, Xiao He
Domain modeling, a crucial part of model-driven engineering, demands extensive domain knowledge and experience from engineers. When the system description is highly complicated, th…
Challenges of Using Pre-trained Models: the Practitioners' Perspective
Xin Tan, Taichuan Li, Ruohe Chen +2
The challenges associated with using pre-trained models (PTMs) have not been specifically investigated, which hampers their effective utilization. To address this knowledge gap, we…