Unveiling the mystery of API evolution in deep learning frameworks: A case study of Tensorflow 2

• Main Authors: ZHANG, Zejun, YANG, Yanming, XIA, Xin, LO, David, REN, Xiaoxue, GRUNDY, John C.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: API documentation; API evolution; deep learning; Tensorflow 2; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6880; https://ink.library.smu.edu.sg/context/sis_research/article/7883/viewcontent/Unveiling_the_Mystery_of_API_Evolution_in_Deep_Learning_Frameworks_A_Case_Study_of_Tensorflow_2.pdf
• Institution: Singapore Management University

API developers have been working hard to evolve APIs to provide more simple, powerful, and robust API libraries. Although API evolution has been studied for multiple domains, such as Web and Android development, API evolution for deep learning frameworks has not yet been studied. It is not very clea...