Logo des Repositoriums
 

Extending a UML and OCL Tool for Meta-Modeling: Applications towards Model Quality Assessment

Kurzanzeige
dc.contributor.authorDoan, Khanh-Hoang
dc.contributor.authorGogolla, Martin
dc.contributor.editorSchaefer, Ina
dc.contributor.editorKaragiannis, Dimitris
dc.contributor.editorVogelsang, Andreas
dc.contributor.editorMéndez, Daniel
dc.contributor.editorSeidl, Christoph
dc.date.accessioned2018-01-23T21:43:15Z
dc.date.available2018-01-23T21:43:15Z
dc.date.issued2018
dc.description.abstractFor developing software in a model-driven style, meta- and multi-level modeling is currently gaining more and more attention. In this contribution, we propose an approach to extend a two-level modeling tool to three-level modeling by adding a meta-model at the topmost level. Standard OCL does not support reflective constraints, i.e., constraints concerning properties of the model like the depth of inheritance. By adding an auto-generated instance of the topmost level to the middle level, we can offer an option for writing reflective constraints and queries. We apply the extension to demonstrate the usefulness of meta-modeling for model querying and model quality assessment. A first proposal towards level-crossing constraints is also put forward.en
dc.identifier.isbn978-3-88579-674-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/14935
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-280
dc.subjectUML
dc.subjectOCL
dc.subjectMeta-modeling
dc.subjectReflective constraints
dc.subjectModel querying
dc.subjectModel quality assessment
dc.titleExtending a UML and OCL Tool for Meta-Modeling: Applications towards Model Quality Assessmenten
dc.typeText/Conference Paper
gi.citation.endPage150
gi.citation.publisherPlaceBonn
gi.citation.startPage135
gi.conference.date21.-23. Februar 2018
gi.conference.locationBraunschweig
gi.conference.sessiontitleWissenschaftliche Beiträge

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
modellierung2018-08.pdf
Größe:
747.3 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P280 - Modellierung 2018
Modellierung 2018 (LNI P280)