2 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests
Yaoqi Guo, Yang Liu, Jie M. Zhang +3
Large language model (LLM)-based software engineering agents are increasingly developed to resolve software issues by generating patches from issue reports and code repositories. B…
REprompt: Prompt Generation for Intelligent Software Development Guided by Requirements Engineering
Junjie Shi, Weisong Sun, Zhenpeng Chen +4
The rapid development of large language models is transforming software development. Beyond serving as code auto-completion tools in integrated development environments, large lang…
EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents
Yaoqi Guo, Ying Xiao, Jie M. Zhang +4
Software engineering (SE) agents powered by large language models are increasingly adopted in practice, yet they often incur substantial monetary cost. We introduce EET, an experie…
Promptware Engineering: Software Engineering for Prompt-Enabled Systems
Zhenpeng Chen, Chong Wang, Weisong Sun +3
Large Language Models (LLMs) are increasingly integrated into software applications, giving rise to a broad class of prompt-enabled systems, in which prompts serve as the primary '…
Personality-Guided Code Generation Using Large Language Models
Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang +2
Code generation, the automatic creation of source code from natural language descriptions, has garnered significant attention due to its potential to streamline software developmen…