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Android apps consistency scrutinized

Published: 26 April 2014 Publication History

Abstract

The increasingly larger selection of mobile apps has made it difficult for users to understand what a particular app does and how it differs from the others. A user typically learns about an app from the app's public information (while deciding whether to install it), from the app's UI (while exploring the UI), and from the app's actual behaviors (while using it). Users may become confused or surprised if there are inconsistencies between (a) the public information and UI, (b) the UI and the actual behavior, or (c) the public information and the actual behavior. For example, turning on the camera (actual behavior) when there is no button that says SNAP (UI) is a potentially confusing inconsistency. We present work-in-progress toward a methodology for automatically detecting inconsistencies in Android apps with respect to permissions and similarity. We report our preliminary results on a large corpus of 178,765 apps.

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References

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Felt, A.P., Ha, E., Egelman, S., Haney, A., Chin, E., and Wagner, D. Android Permissions: User Attention, Comprehension, and Behavior. In SOUPS, 2012.
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Kelley, P.G., Cranor, L.F., and Sadeh, N. Privacy As Part of the App Decision-making Process. In CHI, 2013.
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Lin, J., Amini, S., Hong, J.I., Sadeh, N., Lindqvist, J., and Zhang, J. Expectation and Purpose: Understanding Users' Mental Models of Mobile App Privacy Through Crowdsourcing. In Ubicomp, 2012.
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Octeau, D., Jha, S., and McDaniel, P. Retargeting Android Applications to Java Bytecode. In SIGSOFT, 2012.
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Pandita, R., Xiao, X., Yang, W., Enck, W., and Xie, T. WHYPER: towards automating risk assessment of mobile applications. In USENIX Security, 2013.
[7]
Sridharan, M., Chandra, S., Dolby, J., Fink, S.J., and Yahav, E. Alias Analysis for Object-Oriented Programs. In Aliasing in Object-Oriented Programming. Types, Analysis and Verification. Springer, 2013, 196--232.

Cited By

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  • (2024)Technology for Young Adults with Stroke: An Australian Environmental ScanInternational Journal of Environmental Research and Public Health10.3390/ijerph2109125421:9(1254)Online publication date: 21-Sep-2024
  • (2024)Conceptualization and survey instrument development for mobile application usabilityUniversal Access in the Information Society10.1007/s10209-023-01078-8Online publication date: 17-Jan-2024
  • (2023)The effect of operation systems on consumer population in smartphones marketHighlights in Business, Economics and Management10.54097/hbem.v8i.72288(348-354)Online publication date: 11-Apr-2023
  • Show More Cited By

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  1. Android apps consistency scrutinized

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    Published In

    cover image ACM Conferences
    CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
    April 2014
    2620 pages
    ISBN:9781450324748
    DOI:10.1145/2559206
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 April 2014

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    Author Tags

    1. analysis
    2. android
    3. data
    4. mobile
    5. permissions
    6. ui

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    CHI '14
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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

    Acceptance Rates

    CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    ACM CHI Conference on Human Factors in Computing Systems
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    Cited By

    View all
    • (2024)Technology for Young Adults with Stroke: An Australian Environmental ScanInternational Journal of Environmental Research and Public Health10.3390/ijerph2109125421:9(1254)Online publication date: 21-Sep-2024
    • (2024)Conceptualization and survey instrument development for mobile application usabilityUniversal Access in the Information Society10.1007/s10209-023-01078-8Online publication date: 17-Jan-2024
    • (2023)The effect of operation systems on consumer population in smartphones marketHighlights in Business, Economics and Management10.54097/hbem.v8i.72288(348-354)Online publication date: 11-Apr-2023
    • (2019)Comparative Study for Detecting Mobile Application's Anti-PatternsProceedings of the 8th International Conference on Software and Information Engineering10.1145/3328833.3328834(1-8)Online publication date: 9-Apr-2019
    • (2016)Modeling App Behavior from Multiple Artifacts2016 IEEE International Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST.2016.52(385-386)Online publication date: Apr-2016
    • (2015)Piecing together app behavior from multiple artifactsProceedings of the 2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE.2015.7381837(438-449)Online publication date: 2-Nov-2015
    • (2015)Extending Manual GUI Testing Beyond Defects by Building Mental Models of Software BehaviorProceedings of the 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW)10.1109/ASEW.2015.17(35-41)Online publication date: 9-Nov-2015

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