%A Yuxia SUN, Jiefeng FANG, Yanjia CHEN, Yepang LIU, Zhao CHEN, Song GUO, Xinkai CHEN, Ziyuan TAN %T Energy inefficiency diagnosis for Android applications: a literature review %0 Journal Article %D 2023 %J Front. Comput. Sci. %J Frontiers of Computer Science %@ 2095-2228 %R 10.1007/s11704-021-0532-4 %P 171201-${article.jieShuYe} %V 17 %N 1 %U {https://journal.hep.com.cn/fcs/EN/10.1007/s11704-021-0532-4 %8 2023-02-15 %X

Android applications are becoming increasingly powerful in recent years. While their functionality is still of paramount importance to users, the energy efficiency of these applications is also gaining more and more attention. Researchers have discovered various types of energy defects in Android applications, which could quickly drain the battery power of mobile devices. Such defects not only cause inconvenience to users, but also frustrate Android developers as diagnosing the energy inefficiency of a software product is a non-trivial task. In this work, we perform a literature review to understand the state of the art of energy inefficiency diagnosis for Android applications. We identified 55 research papers published in recent years and classified existing studies from four different perspectives, including power estimation method, hardware component, types of energy defects, and program analysis approach. We also did a cross-perspective analysis to summarize and compare our studied techniques. We hope that our review can help structure and unify the literature and shed light on future research, as well as drawing developers' attention to build energy-efficient Android applications.