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ZENODO
Dataset . 2022
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 . 2022
License: CC BY
Data sources: ZENODO
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 . 2022
License: CC BY
Data sources: Datacite
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Dataset: Users' Software Description vs. Feedback: What Users Write About Existing Software

Research datakeyboard_double_arrow_right Dataset 18 Nov 2022Publisher:Zenodo
Authors: Anders, Michael; Obaidi, Martin; Specht, Alexander; Paech, Barbara; Schneider, Kurt;

doi: 10.5281/zenodo.7335225 , 10.5281/zenodo.7335224

Dataset: Users' Software Description vs. Feedback: What Users Write About Existing Software

Abstract

In 2022, we conducted a study on the awareness of users concerning existing software, For this, we focused on the description and feedback given by the 100 participating users. This data set contain 100 participants' description and feedback about the Komoot hiking app. Both features and software aspects were manually coded in the data set.

Related Organizations
Keywords

Mental Model, Software aspects, Natural language analysis, NFRs, Software Enginnering, User View, Software features, User feedback

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download
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
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13
4