文章
103
标签
6
分类
0
LinLi's Blog
Characterization and Automatic Update ofDeprecated Machine-Learning API Usages
发表于
2023-06-20
|
更新于
2023-10-23
|
阅读量:
Hey, password is required here.
文章作者:
Lin Li
文章链接:
http://example.com/2023/06/20/Characterization-and-Automatic-Update-ofDeprecated-Machine-Learning-API-Usages/
版权声明:
本博客所有文章除特别声明外，均采用
CC BY-NC-SA 4.0
许可协议。转载请注明来自
LinLi's Blog
！
论文阅读
上一篇
AexPy Detecting API Breaking Changes in Python Packages
下一篇
Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs
相关推荐
2023-03-04
PLUMBER
2023-03-08
通过NPM生态系统的依赖树揭开脆弱性传播及其演化的神秘面纱
2023-04-03
Flexible and Optimal Dependency Management via Max-SMT
2023-04-11
What the Fork Finding Hidden Code Clones in npm
2023-04-12
Static Type Inference for Foreign Functions of Python
2023-04-13
Where to Start Studying Type Annotation Practices in Python
Lin Li
今日事，今日毕
文章
103
标签
6
分类
0
Follow Me
公告
This is my Blog
目录
1.
Characterization and Automatic Update of Deprecated Machine-Learning API Usages
1.1.
摘要：
1.2.
背景
1.3.
Introduction
1.4.
Empirical Study
1.4.1.
Data Collection
1.4.2.
RQ1 探索迁移维度
1.4.3.
RQ2 迁移维度分布
1.5.
方法
1.5.1.
3.1 MLCatchUp Architecture
1.5.2.
3.2 Transformation Operations and DSL
1.5.3.
3.3 Transformation Inference
1.6.
结论
最新文章
SMT Solver Validation Empowered by Large Pre-trained Language Models
2024-10-19
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
2024-10-13
Domain Adaptation for Code Model-Based Unit Test Case Generation
2024-10-12
LPR: Large Language Models-Aided Program Reduction
2024-10-10
Understanding and Detecting SQL Function Bugs
2024-10-04
