5 citations · 15 across the 20 of their papers we have counts for
8 papers · 1 filter
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
Junkai Chen, Huihui Huang, Yunbo Lyu +10
Large language model-powered code agents are rapidly transforming software engineering, yet the security risks of their generated code have become a critical concern. Existing benc…
"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
Yue Liu, Yanjie Zhao, Yunbo Lyu +3
Agentic AI coding editors driven by large language models have recently become more popular due to their ability to improve developer productivity during software development. Mode…
"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants
Yunbo Lyu, Zhou Yang, Jieke Shi +3
This paper aims to explore fundamental questions in the era when AI coding assistants like GitHub Copilot are widely adopted: what do developers truly value and criticize in AI cod…
SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents
Jianming Chang, Jieke Shi, Yunbo Lyu +5
Static program slicing, which extracts the executable portions of a program that affect the values at a specific location, supports many software analysis tasks such as debugging a…
Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead
Alessio Bucaioni, Martin Weyssow, Junda He +2
Artificial intelligence is increasingly applied across software engineering, yet its explicit role in software architecture remains insufficiently understood. Architectural practic…
LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks
Xin Zhou, Martin Weyssow, Ratnadira Widyasari +7
Large Language Models (LLMs) are widely utilized in software engineering (SE) tasks, such as code generation and automated program repair. However, their reliance on extensive and…
A Functional Software Reference Architecture for LLM-Integrated Systems
Alessio Bucaioni, Martin Weyssow, Junda He +2
The integration of large language models into software systems is transforming capabilities such as natural language understanding, decision-making, and autonomous task execution.…
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?
Yunbo Lyu, Zhou Yang, Yuqing Niu +2
Text-to-Image (T2I) models have recently gained significant attention due to their ability to generate high-quality images and are consequently used in a wide range of applications…