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dc.contributor.authorKonduru, Anusha
dc.contributor.authorShan, Zhiyong
dc.date.accessioned2022-08-01T19:34:07Z
dc.date.available2022-08-01T19:34:07Z
dc.date.issued2022-06-30
dc.identifier.citationA. Konduru and Z. Shan, "Automated Testing to Detect Status Data Loss in Android Applications," 2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA), 2022, pp. 155-160, doi: 10.1109/SERA54885.2022.9806474
dc.identifier.issn2770-8209
dc.identifier.urihttps://doi.org/10.1109/SERA54885.2022.9806474
dc.identifier.urihttps://soar.wichita.edu/handle/10057/23618
dc.descriptionClick on the DOI to access this article (may not be free).
dc.description.abstractWhen user installs an Android app, it is expected that the data should be persistent at all states, which requires saving the instance data for all the activities. An app can be paused or sent to the background due to other interruptions or user intervention. It is difficult for the programmer to test this issue for all the activities. This results the issue of data loss, the information/details entered by user in the app are not saved when there is any interruption. This results in degrading the user experience because user should enter the information each time there is an interruption. This research proposes a tool, DroidDLP, a Data Loss Preventor in Android, which will detect the information loss from a given android application. We have tested 395 applications and found 12 applications with the issue of data loss. This approach is proved highly accurate and reliable to find the apps with this defect, which can be used by android developers to avoid such errors.
dc.language.isoen_US
dc.publisherIEEE
dc.relation.ispartofseries2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications, SERA 2022
dc.subjectUser experience
dc.subjectSoftware reliability
dc.subjectTesting
dc.subjectSoftware engineering
dc.titleAutomated testing to detect status data loss in Android applications
dc.typeConference paper
dc.rights.holder©2022 IEEE


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