Rise of the planet of serverless computing: A systematic review

J Wen, Z Chen, X **, X Liu - ACM Transactions on Software …, 2023 - dl.acm.org
Serverless computing is an emerging cloud computing paradigm, being adopted to develop
a wide range of software applications. It allows developers to focus on the application logic …

A comprehensive study of deep learning compiler bugs

Q Shen, H Ma, J Chen, Y Tian, SC Cheung… - Proceedings of the 29th …, 2021 - dl.acm.org
There are increasing uses of deep learning (DL) compilers to generate optimized code,
boosting the runtime performance of DL models on specific hardware. Like their traditional …

A comprehensive study on challenges in deploying deep learning based software

Z Chen, Y Cao, Y Liu, H Wang, T **e, X Liu - Proceedings of the 28th …, 2020 - dl.acm.org
Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software
applications. These software applications, named as DL based software (in short as DL …

An empirical study on deployment faults of deep learning based mobile applications

Z Chen, H Yao, Y Lou, Y Cao, Y Liu… - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
Deep learning (DL) is moving its step into a growing number of mobile software applications.
These software applications, named as DL based mobile applications (abbreviated as …

An empirical study on challenges of application development in serverless computing

J Wen, Z Chen, Y Liu, Y Lou, Y Ma, G Huang… - Proceedings of the 29th …, 2021 - dl.acm.org
Serverless computing is an emerging paradigm for cloud computing, gaining traction in a
wide range of applications such as video processing and machine learning. This new …

Automated assertion generation via information retrieval and its integration with deep learning

H Yu, Y Lou, K Sun, D Ran, T **e, D Hao, Y Li… - Proceedings of the 44th …, 2022 - dl.acm.org
Unit testing could be used to validate the correctness of basic units of the software system
under test. To reduce manual efforts in conducting unit testing, the research community has …

An empirical study on focal methods in deep-learning-based approaches for assertion generation

Y He, J Huang, H Yu, T **e - Proceedings of the ACM on Software …, 2024 - dl.acm.org
Unit testing is widely recognized as an essential aspect of the software development
process. Generating high-quality assertions automatically is one of the most important and …

Who judges the judge: An empirical study on online judge tests

K Liu, Y Han, JM Zhang, Z Chen, F Sarro… - Proceedings of the …, 2023 - dl.acm.org
Online Judge platforms play a pivotal role in education, competitive programming,
recruitment, career training, and large language model training. They rely on predefined test …

On the nature of issues in five open source microservices systems: An empirical study

M Waseem, P Liang, M Shahin, A Ahmad… - Proceedings of the 25th …, 2021 - dl.acm.org
Due to its enormous benefits, the research and industry communities have shown an
increasing interest in the Microservices Architecture (MSA) style over the last few years …

Demystifying dependency bugs in deep learning stack

K Huang, B Chen, S Wu, J Cao, L Ma… - Proceedings of the 31st …, 2023 - dl.acm.org
Deep learning (DL) applications, built upon a heterogeneous and complex DL stack (eg,
Nvidia GPU, Linux, CUDA driver, Python runtime, and TensorFlow), are subject to software …