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Determining Context Factors for Hybrid Development Methods with Trained Models

dc.contributor.authorKlünder, Jil
dc.contributor.authorKarajic, Dzejlana
dc.contributor.authorTell, Paolo
dc.contributor.authorKarras, Oliver
dc.contributor.authorMünkel, Christian
dc.contributor.authorMünch, Jürgen
dc.contributor.authorMacDonell, Stephen
dc.contributor.authorHebig, Regina
dc.contributor.authorKuhrmann, Marco
dc.contributor.editorKoziolek, Anne
dc.contributor.editorSchaefer, Ina
dc.contributor.editorSeidl, Christoph
dc.date.accessioned2020-12-17T11:57:52Z
dc.date.available2020-12-17T11:57:52Z
dc.date.issued2021
dc.description.abstractSelecting a suitable development method for a specific project context is one of the most challenging activities in process design. To extend the so far statistical construction of hybrid development methods, we analyze 829 data points to investigate which context factors influence the choice of methods or practices. Using exploratory factor analysis, we derive five base clusters consisting of up to 10 methods. Logistic regression analysis then reveals which context factors have an influence on the integration of methods from these clusters in the development process. Our results indicate that only a few context factors including project/product size and target application domain significantly influence the choice. This summary refers to the paper “Determining Context Factors for Hybrid Development Methods with Trained Models”. This paper was published in the proceedings of the International Conference on Software and System Process in 2020.en
dc.identifier.doi10.18420/SE2021_21
dc.identifier.isbn978-3-88579-704-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34516
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2021
dc.relation.ispartofseriesecture Notes in Informatics (LNI) - Proceedings, Volume P-310
dc.subjectSoftware Process
dc.subjectHybrid Development Method
dc.subjectTrained Models
dc.titleDetermining Context Factors for Hybrid Development Methods with Trained Modelsen
dc.typeText/ConferencePaper
gi.citation.endPage66
gi.citation.publisherPlaceBonn
gi.citation.startPage65
gi.conference.date22.-26. Februar 2021
gi.conference.locationBraunschweig/Virtuell

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