A Systematical Study on Application Performance Management Libraries for Apps
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Journal / Publication | IEEE Transactions on Software Engineering |
Online published | 5 May 2021 |
Publication status | Online published - 5 May 2021 |
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Abstract
Being able to automatically detect the performance issues in apps will significantly improve their quality as well as having a positive influence on user satisfaction. Although app developers have been exploiting application performance management (APM)tools to capture these potential performance issues, most of them do not fully understand the internals of these APM tools and the effect on their apps, such as security risks, etc. To fill this gap, in this paper, we conduct the first systematic study on APMs for apps by scrutinizing 25 widely-used APMs for Android apps and develop a framework named APMHunter for exploring the usage of APMs inAndroid apps. Using APMHunter, we conduct a large-scale empirical study on 500,000 Android apps to explore the usage patterns ofAPMs and discover the potential misuses of APMs. We obtain two major findings: 1) some APMs still employ deprecated permissions and approaches, which leads to APM malfunction as expected; 2) inappropriate APMs utilization will cause privacy leakages. Thus, our study suggests that both APM vendors and developers should design and use APMs scrupulously
Research Area(s)
- Empirical study, Android, Application performance management
Citation Format(s)
A Systematical Study on Application Performance Management Libraries for Apps. / Tang, Yutian; Wang, Haoyu; Zhan, Xian; Luo, Xiapu; Zhou, Yajin; Zhou, Hao; Yan, Qiben; Sui, Yulei; Keung, Jacky.
In: IEEE Transactions on Software Engineering, 05.05.2021.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review