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GreenDroid: Automated Diagnosis of Energy Inefficiency for Smartphone Applications
2014
IEEE Transactions on Software Engineering
Smartphone applications' energy efficiency is vital, but many Android applications suffer from serious energy inefficiency problems. Locating these problems is labor-intensive and automated diagnosis is highly desirable. However, a key challenge is the lack of a decidable criterion that facilitates automated judgment of such energy problems. Our work aims to address this challenge. We conducted an in-depth study of 173 open-source and 229 commercial Android applications, and observed two common
doi:10.1109/tse.2014.2323982
fatcat:fcyym3twpbbqjjhf5jsackyux4