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dc.contributor.authorKaufmann, Andreas
dc.contributor.authorRiehle, Dirk
dc.contributor.editorTichy, Matthias
dc.contributor.editorBodden, Eric
dc.contributor.editorKuhrmann, Marco
dc.contributor.editorWagner, Stefan
dc.contributor.editorSteghöfer, Jan-Philipp
dc.date.accessioned2019-03-29T10:24:09Z
dc.date.available2019-03-29T10:24:09Z
dc.date.issued2018
dc.identifier.isbn978-3-88579-673-2
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/21155
dc.description.abstractThe creation of domain models from qualitative input relies heavily on experience. An uncodified ad-hoc modeling process is still common and leads to poor documentation of the analysis. In this article we present a new method for domain analysis based on qualitative data analysis (QDA). The method helps identify inconsistencies, ensures a high degree of completeness, and inherently provides traceability from analysis results back to stakeholder input. These traces do not have to be documented after the fact. We evaluate our approach using four exploratory studies.en
dc.language.isoen
dc.publisherGesellschaft für Informatik
dc.relation.ispartofSoftware Engineering und Software Management 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-279
dc.subjectdomain modeling
dc.subjectdomain model
dc.subjectrequirements engineering
dc.subjectrequirements elicitation
dc.subjectqualitative data analysis
dc.titleThe QDAcity-RE Method for Structural Domain Modeling Using Qualitative Data Analysisen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages169-170
mci.conference.sessiontitleSoftware Engineering 2018 - Track: "Erklärbare Software"
mci.conference.locationUlm
mci.conference.date5.-9. März 2018


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