most citedPromptware Engineering: Software Engineering for Prompt-Enabled Systems

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization

Ziqiao Kong, Wanxu Xia, Chong Wang +6

Smart contracts govern billions of dollars in decentralized finance (DeFi), yet automated vulnerability detection remains challenging because many vulnerabilities are tightly coupl…

cs.SE2025

Exploringand Unleashing the Power of Large Language Models in CI/CD Configuration Translation

Chong Wang, Chen Zhang, Jiajun Wu +4

Continuous Integration (CI) is a cornerstone of modern collaborative software development, and numerous CI platforms are available. Differences in maintenance overhead, reliability…

cs.SE2025

A Taxonomy of Prompt Defects in LLM Systems

Haoye Tian, Chong Wang, BoYang Yang +2

Large Language Models (LLMs) have become key components of modern software, with prompts acting as their de-facto programming interface. However, prompt design remains largely empi…

cs.SE2025

A Study on Thinking Patterns of Large Reasoning Models in Code Generation

Kevin Halim, Sin G. Teo, Ruitao Feng +4

Currently, many large language models (LLMs) are utilized for software engineering tasks such as code generation. The emergence of more advanced models known as large reasoning mod…

cs.SE2025★ 2 cited

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 '…