Evaluation of Machine Learning Approaches for Android Energy Bugs Detection With Revision Commits

Evaluation of Machine Learning Approaches for Android Energy Bugs Detection With Revision Commits

Performances of smartphones are profoundly affected by battery life. Maximizing the amount of usage of energy is essential to extend battery life. However, developers might concentrate more on the functionality of applications while ignoring the energy bugs that drain the battery during the developm...

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Bibliographic Details
Main Authors:	Chenyang Zhu, Zhengwei Zhu, Yunxin Xie, Wei Jiang, Guiling Zhang
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Energy modeling feature selection machine learning code optimization
Online Access:	https://ieeexplore.ieee.org/document/8747004/

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