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http://hdl.handle.net/10397/105476
Title: | A systematical study on application performance management libraries for apps | Authors: | Tang, Y Wang, H Zhan, X Luo, X Zhou, Y Zhou, H Yan, Q Sui, Y Keung, J |
Issue Date: | 2021 | Source: | IEEE transactions on software engineering, Aug. 2022, v. 48, no. 8, p. 3044-3065 | Abstract: | Being able to automatically detect the performance issues in apps can significantly improve apps’ quality as well as having a positive influence on user satisfaction. A pplication P erformance M anagement (APM) libraries are used to locate the apps’ performance bottleneck, monitor their behaviors at runtime, and identify potential security risks. 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. 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 in Android apps. Using APMHunter, we conduct a large-scale empirical study on 500,000 Android apps to explore the usage patterns of APMs and discover the potential misuses of APMs. We obtain two major findings: 1) some APMs still employ deprecated permissions and approaches, which makes APMs fail to perform as expected; 2) inappropriate use of APMs can cause privacy leaks. Thus, our study suggests that both APM vendors and developers should design and use APMs scrupulously. | Keywords: | Android Application performance management Empirical study |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on software engineering | ISSN: | 0098-5589 | EISSN: | 1939-3520 | DOI: | 10.1109/TSE.2021.3077654 | Rights: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Y. Tang et al., "A Systematical Study on Application Performance Management Libraries for Apps," in IEEE Transactions on Software Engineering, vol. 48, no. 8, pp. 3044-3065, 1 Aug. 2022 is available at https://doi.org/10.1109/TSE.2021.3077654. |
Appears in Collections: | Journal/Magazine Article |
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Zhan_Systematical_Study_Application.pdf | Pre-Published version | 3.93 MB | Adobe PDF | View/Open |
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