Robot-assisted smartphone performance testing

Teemu Kanstren, Pekka Aho, Arttu Lamsa, Henar Martin, Jussi Liikka, Miska Seppanen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    3 Citations (Scopus)

    Abstract

    This paper describes experiences and lessons learned in applying an approach of using a physical robot for testing overall smartphone device performance based on user profiles. The process consists of capturing user actions, abstracting them to usage profiles, transforming these into test models, and generating test cases from the models. The goal is to support performance testing of touch screen devices and applications in a realistic test environment. To achieve this, the tests are based on real-world generated user profiles and executed using a real physical robot, simulating the actual user. Our performance testing targets different attributes of performance such as response times, power and resource usage, and software/hardware aging. Use of different hardware and software configurations in the test scenarios is considered. This work has been performed in close collaboration with industry partners in robotics provider and user industries.

    Original languageEnglish
    Title of host publication2015 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015
    PublisherInstitute of Electrical and Electronic Engineers IEEE
    Volume2015-August
    DOIs
    Publication statusPublished - 24 Aug 2015
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015 - Woburn, United States
    Duration: 11 May 201512 May 2015

    Conference

    ConferenceIEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015
    CountryUnited States
    CityWoburn
    Period11/05/1512/05/15

    Fingerprint

    Smartphones
    Robots
    Testing
    Hardware
    Touch screens
    Industry
    Robotics
    Aging of materials

    Keywords

    • Electronic mail
    • Markov processes
    • Performance evaluation
    • Robot kinematics
    • Service robots
    • Testing

    Cite this

    Kanstren, T., Aho, P., Lamsa, A., Martin, H., Liikka, J., & Seppanen, M. (2015). Robot-assisted smartphone performance testing. In 2015 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015 (Vol. 2015-August). [7219669] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/TePRA.2015.7219669
    Kanstren, Teemu ; Aho, Pekka ; Lamsa, Arttu ; Martin, Henar ; Liikka, Jussi ; Seppanen, Miska. / Robot-assisted smartphone performance testing. 2015 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015. Vol. 2015-August Institute of Electrical and Electronic Engineers IEEE, 2015.
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    Kanstren, T, Aho, P, Lamsa, A, Martin, H, Liikka, J & Seppanen, M 2015, Robot-assisted smartphone performance testing. in 2015 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015. vol. 2015-August, 7219669, Institute of Electrical and Electronic Engineers IEEE, IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015, Woburn, United States, 11/05/15. https://doi.org/10.1109/TePRA.2015.7219669

    Robot-assisted smartphone performance testing. / Kanstren, Teemu; Aho, Pekka; Lamsa, Arttu; Martin, Henar; Liikka, Jussi; Seppanen, Miska.

    2015 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015. Vol. 2015-August Institute of Electrical and Electronic Engineers IEEE, 2015. 7219669.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    Kanstren T, Aho P, Lamsa A, Martin H, Liikka J, Seppanen M. Robot-assisted smartphone performance testing. In 2015 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2015. Vol. 2015-August. Institute of Electrical and Electronic Engineers IEEE. 2015. 7219669 https://doi.org/10.1109/TePRA.2015.7219669