11 papers · 1 filter
Projectional Decoding: Towards Semantic-Aware LLM Generation
Boqi Chen, José Antonio Hernández López, Aren A. Babikian
Large language models (LLMs) are increasingly used to generate software artifacts across many software engineering (SE) tasks, yet ensuring the semantic validity of these artifacts…
LLM-Assisted Repository-Level Generation with Structured Spec-Driven Engineering
Shuzhao Feng, Boqi Chen, Brett H Meyer +1
State-of-the-art Large Language Models (LLMs) excel in code generation at the function level. However, the output quality significantly declines when scaling to repository-level sy…
Structure- and Event-Driven Frameworks for State Machine Modeling with Large Language Models
Samer Abdulkarim, Evan Boyd, Karl Bridi +3
UML state machine design is a critical process in software engineering. Traditionally, state machines are manually crafted by experienced engineers based on natural language requir…
Hierarchical Evaluation of Software Design Capabilities of Large Language Models of Code
Mootez Saad, Boqi Chen, José Antonio Hernández López +2
Large language models (LLMs) are being increasingly adopted in the software engineering domain, yet the robustness of their grasp on core software design concepts remains unclear.…
MCeT: Behavioral Model Correctness Evaluation using Large Language Models
Khaled Ahmed, Jialing Song, Boqi Chen +2
Behavioral model diagrams, e.g., sequence diagrams, are an essential form of documentation that are typically designed by system engineers from requirements documentation, either f…
Accurate and Consistent Graph Model Generation from Text with Large Language Models
Boqi Chen, Ou Wei, Bingzhou Zheng +1
Graph model generation from natural language description is an important task with many applications in software engineering. With the rise of large language models (LLMs), there i…