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Continuous Innovation and Experimentation in Complex Problem Domains

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dc.contributor.authorKlepper, Sebastian
dc.contributor.authorGrimm, Christian
dc.contributor.authorBruegge, Bernd
dc.contributor.editorTichy, Matthias
dc.contributor.editorBodden, Eric
dc.contributor.editorKuhrmann, Marco
dc.contributor.editorWagner, Stefan
dc.contributor.editorSteghöfer, Jan-Philipp
dc.date.accessioned2019-03-29T10:24:10Z
dc.date.available2019-03-29T10:24:10Z
dc.date.issued2018
dc.description.abstractContinuous software engineering enables experimentation and empirical research in complex problem domains. Existing process models describe different approaches for exploration, innovation, and refinement. We propose a new approach based on problem solving techniques and focused on decision support to serve as the starting point for a unified process framework.en
dc.identifier.isbn978-3-88579-673-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21156
dc.language.isoen
dc.publisherGesellschaft für Informatik
dc.relation.ispartofSoftware Engineering und Software Management 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-279
dc.subjectContinuous innovation
dc.subjectContinuous experimentation
dc.subjectContinuous software engineering
dc.subjectHypothesis-driven development
dc.subjectComplex problem solving
dc.subjectDecision support
dc.subjectAgile development
dc.titleContinuous Innovation and Experimentation in Complex Problem Domainsen
dc.typeText/Conference Paper
gi.citation.endPage194
gi.citation.publisherPlaceBonn
gi.citation.startPage191
gi.conference.date5.-9. März 2018
gi.conference.locationUlm
gi.conference.sessiontitleSoftware Engineering 2018 - Track: "Erklärbare Software"

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P279 - Software Engineering und Software Management 2018