Method for Profile-Guided Optimization of Android Applications Using Random Forest

Method for Profile-Guided Optimization of Android Applications Using Random Forest

When choosing a smartphone, many users are guided by the performance of smartphones and the speed of applications. Because it is difficult to measure the application speed directly, the speed of the application startup is considered and used for comparison. Android runtime (ART) uses several technol...

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Bibliographic Details
Main Authors: Andrei Visochan, Andrey Stroganov, Ivan Titarenko, Sergei Lonchakov, Stanislav Mologin, Svetlana Pavlova, Anastasia Lyupa, Anna Kozlova
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Android
application launch time
classification
machine learning
probability tree
profile-guided optimization
Online Access:https://ieeexplore.ieee.org/document/9919810/

Internet

https://ieeexplore.ieee.org/document/9919810/

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