6 papers · 1 filter
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…
When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches
Yiling Lou, Jun Yang, Samuel Benton +5
In recent years, Automated Program Repair (APR) has been extensively studied in academia and even drawn wide attention from industry. However, APR techniques can be extremely time…
Research Artifacts in Software Engineering Publications: Status and Trends
Mugeng Liu, Xiaolong Huang, Wei He +5
The Software Engineering (SE) community has been embracing the open science policy and encouraging researchers to disclose artifacts in their publications. However, the status and…