Characterization and automatic updates of deprecated machine-learning API usages

Characterization and automatic updates of deprecated machine-learning API usages

Due to the rise of AI applications, machine learning (ML) libraries, often written in Python, have become far more accessible. ML libraries tend to be updated periodically, which may deprecate existing APIs, making it necessary for application developers to update their usages. In this paper, we bui...

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Bibliographic Details
Main Authors: AGUS HARYONO, Stefanus, Ferdian, Thung, LO, David, LAWALL, Julia, JIANG, Lingxiao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Python
Program Transformation
Automatic Update
Deprecated API
Artificial Intelligence and Robotics
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/6649
https://ink.library.smu.edu.sg/context/sis_research/article/7652/viewcontent/icsme21MLCatchUpTool.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6649
https://ink.library.smu.edu.sg/context/sis_research/article/7652/viewcontent/icsme21MLCatchUpTool.pdf

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