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ZENODO
Dataset . 2020
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 . 2020
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 . 2020
License: CC BY
Data sources: Datacite
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Extraction of Conceptual Models: User Stories vs. Use Cases

Authors: Dalpiaz, Fabiano; Sturm, Arnon; Gieske, Patrizia;

Extraction of Conceptual Models: User Stories vs. Use Cases

Abstract

This online appendix provides the materials of an experiment regarding the performance of individual subjects (24 students) in the extraction of conceptual models from a specification expressed: [IV1] as user stories or use cases [IV2] for one of three types of fictitious systems: hospital management system, urban traffic simulator, and international football association portal We measure the performance in terms of validity (DV1) and completeness (DV2) against models that were created by domain experts (the three authors of the paper and of this online appendix) from each of the specifications. The materials include The description of the three systems (folder System Descriptions) An Excel spreadsheet that includes raw data, charts, and statistical results The guidelines that the authors used in assessing the quality of the subjects' models against the expert models For each student who participated in the experiment and gave consent, The specification, either via user stories or use cases, created by the student The student model created by the student The expert model created by one of the paper authors Note that these files are highlighted to denote how we applied the tagging guidelines

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Keywords

empirical software engineering, use cases, conceptual modeling, requirements engineering, user stories

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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
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