Logo des Repositoriums
 

Retrofitting Generative Aspects in Existing Applications

dc.contributor.authorGerasimov, Arkadii
dc.contributor.authorMichael, Judith
dc.contributor.authorNachmann, Imke
dc.contributor.authorNetz, Lukas
dc.contributor.authorRumpe, Bernhard
dc.contributor.authorVarga, Simon
dc.contributor.editorLeopold, Henrik
dc.contributor.editorProper, Henderik A.
dc.date.accessioned2023-02-14T05:26:08Z
dc.date.available2023-02-14T05:26:08Z
dc.date.issued2022
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40214
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEMISA 2022
dc.subjectMethodology
dc.subjectModel-Based Software Engineering
dc.subjectCode Synthesis
dc.subjectBrownfield
dc.subjectInformation System
dc.subjectProblem Decomposition
dc.titleRetrofitting Generative Aspects in Existing Applicationsen
dc.typeText/Conference Abstract
gi.citation.publisherPlaceBonn
gi.conference.date2nd and 3rd of June, 2022
gi.conference.locationBelval, Luxembourg

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
EMISA2022-02.pdf
Größe:
206.14 KB
Format:
Adobe Portable Document Format

Sammlungen