Author:
Qiao Yu,Zheng Zheng,Qin Fangyun
Cited by
18 articles.
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1. An Empirical Study to Identify Software Aging Indicators for Android OS;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS);2023-10-22
2. A Comprehensive Model of Android Software Aging and Rejuvenation Considering Battery Saving;Electronics;2023-03-29
3. EWDLL: Software Aging State Identification based on LightGBM-LR Hybrid Model;2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS);2022-12
4. Taxonomy of Aging-related Bugs in Deep Learning Libraries;2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE);2022-10
5. Software micro-rejuvenation for Android mobile systems;Journal of Systems and Software;2022-04