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dc.contributor.authorYeh, Chao-Chunen_US
dc.contributor.authorHuang, Shih-Kunen_US
dc.date.accessioned2017-04-21T06:49:29Z-
dc.date.available2017-04-21T06:49:29Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4673-6563-5en_US
dc.identifier.issn0730-3157en_US
dc.identifier.urihttp://dx.doi.org/10.1109/COMPSAC.2015.125en_US
dc.identifier.urihttp://hdl.handle.net/11536/136228-
dc.description.abstractIn android ecosystem, the Apps marketplace vendor faces huge number of Apps with irregular quality. Besides bug finding, coverage index is neglected for the current Android testing services. However it is also a challenge to measure the testing coverage without source code. In this paper, we provide a systematic approach to measure the App testing coverage for black-box testing and implement CovDroid, a black-box coverage system for android. Furthermore, we use a App with different test cases to prove our concept that coverage index can improve the App and measure test cases quality for App market or testing vendors.en_US
dc.language.isoen_USen_US
dc.subjectAndroiden_US
dc.subjectApp Testingen_US
dc.subjectCoverage Testingen_US
dc.subjectBlack Box testingen_US
dc.titleCovDroid: A Black-Box Testing Coverage System for Androiden_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/COMPSAC.2015.125en_US
dc.identifier.journalIEEE 39TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC 2015), VOL 3en_US
dc.citation.spage447en_US
dc.citation.epage452en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department資訊技術服務中心zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInformation Technology Services Centeren_US
dc.identifier.wosnumberWOS:000381598900075en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper


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