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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Supporting Data Set for Paper "Can Videos as a By-Product of GUI Testing Help Developers Understand GUI Tests?"

Research datakeyboard_double_arrow_right Dataset 19 Jul 2023 English Publisher:Zenodo
Authors: Shi, Jianwei; Karras, Oliver; Obaidi, Martin; Tandun, Malvin;

doi: 10.5281/zenodo.8162396 , 10.5281/zenodo.8162397

Supporting Data Set for Paper "Can Videos as a By-Product of GUI Testing Help Developers Understand GUI Tests?"

Abstract

This data set is a supporting material for an accepted paper "Can Videos as a By-Product of GUI Testing Help Developers Understand GUI Tests?" on 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW 2023). This dataset consists of a consent form of the study in English; a tutorial video for TakeNote App (see TakeNote Tutorial-v02); a questionnaire in HTML format; used videos (in HTML Video Player with Videos and VTT files) and screenshots; the source code of the HTML Video Player (in HTML Video Player with Videos and VTT files); obtained and coded results from the questionnaire (see Study-Data-4EmpiRE-v22); calculation steps of the Mann-Whitney U Test; the source code of the TakeNote App.

This work is funded by Deutsche Forschungsgemeinschaft (DFG) - Project number 289386339 (ViViUse).

Related Organizations
Keywords

GUI test, by-product, video

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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