5 papers
A First Look at Bugs in LLM Inference Engines
Mugeng Liu, Siqi Zhong, Weichen Bi +5
Large language model-specific inference engines (in short as \emph{LLM inference engines}) have become a fundamental component of modern AI infrastructure, enabling the deployment…
SCOPE: Performance Testing for Serverless Computing
Jinfeng Wen, Zhenpeng Chen, Jianshu Zhao +5
Serverless computing is a popular cloud computing paradigm that has found widespread adoption across various online workloads. It allows software engineers to develop cloud applica…
Unveiling Overlooked Performance Variance in Serverless Computing
Jinfeng Wen, Zhenpeng Chen, Federica Sarro +1
Serverless computing is an emerging cloud computing paradigm for developing applications at the function level, known as serverless functions. Due to the highly dynamic execution e…
LLM-Based Misconfiguration Detection for AWS Serverless Computing
Jinfeng Wen, Zhenpeng Chen, Federica Sarro +4
Serverless computing is an emerging cloud computing paradigm that enables developers to build applications at the function level, known as serverless applications. Amazon Web Servi…
Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
Xinyue Li, Zhenpeng Chen, Jie M. Zhang +3
This paper conducts fairness testing of automated pedestrian detection, a crucial but under-explored issue in autonomous driving systems. We evaluate eight state-of-the-art deep le…