• Find People
  • Campus Map
  • PiratePort
  • A-Z
    • About
    • Submit
    • Browse
    • Login
    View Item 
    •   ScholarShip Home
    • Academic Affairs
    • College of Engineering and Technology
    • Computer Science
    • View Item
    •   ScholarShip Home
    • Academic Affairs
    • College of Engineering and Technology
    • Computer Science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of The ScholarShipCommunities & CollectionsDateAuthorsTitlesSubjectsTypeDate SubmittedThis CollectionDateAuthorsTitlesSubjectsTypeDate Submitted

    My Account

    Login

    Statistics

    View Google Analytics Statistics

    Cloud Platform for Research Crowdsourcing in Mobile Testing

    Thumbnail
    View/ Open
    Starov_ecu_0600M_10953.pdf (4.131Mb)

    Show full item record
    Author
    Starov, Oleksii
    Abstract
    Mobile application testing and testing over a cloud are two highly topical fields nowadays. Mobile testing presents specific test activities, including verification of an application against a variety of heterogeneous smartphone models and versions of operating systems (OS), build distribution and test team management, monitoring and user experience analytics of an application in production, etc. Cloud benefits are widely used to support all these activities. This study conducts in-depth analyses of existing cloud services for mobile testing and addresses their weaknesses regarding research purposes and testing needs of the critical and business-critical mobile applications.   During this study, a Cloud Testing of Mobile Systems (CTOMS) framework for effective research crowdsourcing in mobile testing was developed. The framework is presented as a lightweight and easily scalable distributed system that provides a cloud service to run tests on a variety of remote mobile devices. CTOMS provides implementation of two novel functionalities that are demanded by advanced investigations in mobile testing. First, it allows full multidirectional testing, which provides the opportunities to test an application on different devices and/or OS versions, and new device models or OS versions for their compatibility with the most popular applications in the market, or just legacy critical apps, etc. Second, CTOMS demonstrates the effective integration of the appropriate testing techniques for mobile development within such a service. In particular, it provides a user with suggestions about coverage of configurations to test on using combinatorial approaches like a base choice, pair-wise, and t-way. The current CTOMS version supports automated functional testing of Android applications and detection of defects in the user interface (UI). This has a great value because requirements for UI and user experience are high for any modern mobile application.    The fundamental analysis of possible test types and techniques using a system like CTOMS was conducted, and ways of possible enhancements and extensions of functionality for possible research are listed. The first case studies prove the work of implemented novel concepts, their usefulness, and their convenience for experiments in mobile testing. The overall work proves that a study of cloud mobile testing is feasible even with small research resources.  
    URI
    http://hdl.handle.net/10342/1757
    Subject
     Computer science; Androids; Cloud testing; Combinatorial coverage; Device cloud; Mobile testing; Research crowdsourcing 
    Date
    2013
    Citation:
    APA:
    Starov, Oleksii. (January 2013). Cloud Platform for Research Crowdsourcing in Mobile Testing (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/1757.)

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Starov, Oleksii. Cloud Platform for Research Crowdsourcing in Mobile Testing. Master's Thesis. East Carolina University, January 2013. The Scholarship. http://hdl.handle.net/10342/1757. August 08, 2022.
    Chicago:
    Starov, Oleksii, “Cloud Platform for Research Crowdsourcing in Mobile Testing” (Master's Thesis., East Carolina University, January 2013).
    AMA:
    Starov, Oleksii. Cloud Platform for Research Crowdsourcing in Mobile Testing [Master's Thesis]. Greenville, NC: East Carolina University; January 2013.
    Collections
    • Computer Science
    • Master's Theses
    Publisher
    East Carolina University

    xmlui.ArtifactBrowser.ItemViewer.elsevier_entitlement

    East Carolina University has created ScholarShip, a digital archive for the scholarly output of the ECU community.

    • About
    • Contact Us
    • Send Feedback