Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105565
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dc.contributorDepartment of Computingen_US
dc.creatorTang, Yen_US
dc.creatorZhan, Xen_US
dc.creatorZhou, Hen_US
dc.creatorLuo, Xen_US
dc.creatorXu, Zen_US
dc.creatorZhou, Yen_US
dc.creatorYan, Qen_US
dc.date.accessioned2024-04-15T07:35:04Z-
dc.date.available2024-04-15T07:35:04Z-
dc.identifier.isbn978-1-7281-2508-4 (Electronic)en_US
dc.identifier.isbn978-1-7281-2509-1 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/105565-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2019 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.en_US
dc.rightsThe following publication Y. Tang et al., "Demystifying Application Performance Management Libraries for Android," 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), San Diego, CA, USA, 2019, pp. 682-685 is available at https://doi.org/10.1109/ASE.2019.00069.en_US
dc.subjectAndroiden_US
dc.subjectApplication Performance Management Libraryen_US
dc.subjectEmpirical Studyen_US
dc.titleDemystifying application performance management libraries for Androiden_US
dc.typeConference Paperen_US
dc.identifier.spage682en_US
dc.identifier.epage685en_US
dc.identifier.doi10.1109/ASE.2019.00069en_US
dcterms.abstractSince the performance issues of apps can influence users' experience, developers leverage application performance management (APM) tools to locate the potential performance bottleneck of their apps. Unfortunately, most developers do not understand how APMs monitor their apps during the runtime and whether these APMs have any limitations. In this paper, we demystify APMs by inspecting 25 widely-used APMs that target on Android apps. We first report how these APMs implement 8 key functions as well as their limitations. Then, we conduct a large-scale empirical study on 500,000 Android apps from Google Play to explore the usage of APMs. This study has some interesting observations about existing APMs for Android, including 1) some APMs still use deprecated permissions and approaches so that they may not always work properly; 2) some app developers use APMs to collect users' privacy information.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), 10-15 November 2019, San Diego, California, p. 682-685en_US
dcterms.issued2019-
dc.identifier.scopus2-s2.0-85078888288-
dc.relation.conferenceIEEE/ACM International Conference on Automated Software Engineering [ASE]en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0499-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextFundamental Research Funds for the Central Universities; National Science Foundationen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS26073764-
dc.description.oaCategoryGreen (AAM)en_US
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