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Actiontracking for Multi-platform Mobile Applications

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Software Engineering Trends and Techniques in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 575))

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Abstract

The article contains the proposal of the standard log file format for activity tracking purposes. The retrieval process for Activity Markup Language (ActML) in different software environments was discussed, alongside with the test suite of multi-platform mobile applications. The next part of the article deals with automatic comparison of acquired actiontracking logs in order to compute the coefficient of the difference between experimental and reference action paths. The proposed approach provides new insights in the field of the usability evaluation, especially for mobile and multi-platform applications.

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Notes

  1. 1.

    all the example applications shown in the article are in Polish, as this was the actual language of the conducted experiments.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Silesian University of Technology, 23 Kaszubska Street, 44-100, Gliwice, Poland

    Zdzisław Sroczyński

Authors
  1. Zdzisław Sroczyński
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Correspondence to Zdzisław Sroczyński .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zdenka Prokopova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Roman Senkerik

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zuzana Kominkova Oplatkova

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Sroczyński, Z. (2017). Actiontracking for Multi-platform Mobile Applications. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_37

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  • DOI: https://doi.org/10.1007/978-3-319-57141-6_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57140-9

  • Online ISBN: 978-3-319-57141-6

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