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dc.contributor.authorReschenhofer, Thomas
dc.contributor.authorBhat, Manoj
dc.contributor.authorHernandez-Mendez, Adrian
dc.contributor.authorMatthes, Florian
dc.contributor.editorJürjens, Jan
dc.contributor.editorSchneider, Kurt
dc.date.accessioned2017-06-21T19:18:04Z
dc.date.available2017-06-21T19:18:04Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-661-9
dc.identifier.issn1617-5468
dc.description.abstractIn this work, we present a hybrid approach for supporting data and model co-evolution, wherein either the data is aligned to the model or vice versa. We further elaborate on our experi- ences of applying the approach in projects for over five years. The issues faced in those projects and their respective solutions are formulated as lessons learned, which should guide the design and implementation of software systems supporting the co-evolution of data and its model.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-267
dc.titleLessons Learned in Aligning Data and Model Evolution in Collaborative Information Systems - A Summary Reporten
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages51
mci.conference.sessiontitleEmpirical Software Engineering 1
mci.conference.locationHannover
mci.conference.date21.-24. Februar 2017


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