The QDAcity-RE Method for Structural Domain Modeling Using Qualitative Data Analysis
| dc.contributor.author | Kaufmann, Andreas | |
| dc.contributor.author | Riehle, Dirk | |
| dc.contributor.editor | Tichy, Matthias | |
| dc.contributor.editor | Bodden, Eric | |
| dc.contributor.editor | Kuhrmann, Marco | |
| dc.contributor.editor | Wagner, Stefan | |
| dc.contributor.editor | Steghöfer, Jan-Philipp | |
| dc.date.accessioned | 2019-03-29T10:24:09Z | |
| dc.date.available | 2019-03-29T10:24:09Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The 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.identifier.isbn | 978-3-88579-673-2 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/21155 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik | |
| dc.relation.ispartof | Software Engineering und Software Management 2018 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-279 | |
| dc.subject | domain modeling | |
| dc.subject | domain model | |
| dc.subject | requirements engineering | |
| dc.subject | requirements elicitation | |
| dc.subject | qualitative data analysis | |
| dc.title | The QDAcity-RE Method for Structural Domain Modeling Using Qualitative Data Analysis | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 170 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 169 | |
| gi.conference.date | 5.-9. März 2018 | |
| gi.conference.location | Ulm | |
| gi.conference.sessiontitle | Software Engineering 2018 - Track: "Erklärbare Software" |
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