Understanding Bugs in Multi-Language Deep Learning Frameworks-Reference-Cited by-同舟云学术

Understanding Bugs in Multi-Language Deep Learning Frameworks

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC)
language:
Short-container-title:

Author:

Li Zengyang¹,Wang Sicheng¹,Wang Wenshuo¹,Liang Peng²,Mo Ran¹,Li Bing²

Affiliation:

1. Central China Normal University,School of Computer Science & Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,China

2. Wuhan University,School of Computer Science,Wuhan,China

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10173929/10173943/10174026.pdf?arnumber=10174026

Reference32 articles.

1. Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems;chen,2015

2. Static code analysis of multilanguage software systems;shatnawi,2019

3. {TensorFlow}: a system for {Large-Scale} machine learning;abadi;Proceedings of the USENIX Symposium on Operating Systems Design and Implementation (OSDI'02),2016

4. Pytorch: An imperative style, high-performance deep learning library;paszke;Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS),2019

5. Interest of Defect Technical Debt: An Exploratory Study on Apache Projects

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An exploratory study on just-in-time multi-programming-language bug prediction;Information and Software Technology;2024-11

2. Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects;2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2023-10-26

3. Transpiler-Based Architecture Design Model for Back-End Layers in Software Development;Applied Sciences;2023-10-17

4. Examining deep learning’s capability to spot code smells: a systematic literature review;Cluster Computing;2023-10-03