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Application and Testing of Business Processes in the Energy Domain

dc.contributor.authorBöhmer, Kristof
dc.contributor.authorStertz, Florian
dc.contributor.authorHildebrandt, Tobias
dc.contributor.authorRinderle-Ma, Stefanie
dc.contributor.authorEibl, Günther
dc.contributor.authorFerner, Cornelia
dc.contributor.authorBurkhart, Sebastian
dc.contributor.authorEngel, Dominik
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-21T11:24:37Z
dc.date.available2017-06-21T11:24:37Z
dc.date.issued2017
dc.description.abstractThe energy domain currently struggles with radical legal and technological changes, such as, smart meters. This results in new use cases which can be implemented based on business process technology. Understanding and automating business processes requires to model and test them. However, existing process testing approaches frequently struggle with the testing of process resources, such as ERP systems, and negative testing. Hence, this work presents a toolchain which tackles that limitations. The approach uses an open source process engine to generate event logs and applies process mining techniques in a novel way.en
dc.identifier.isbn978-3-88579-660-2
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-266
dc.subjectBusiness Process
dc.subjectProcess Testing
dc.subjectEnergy
dc.subjectProcess Analysis
dc.titleApplication and Testing of Business Processes in the Energy Domainen
dc.typeText/Conference Paper
gi.citation.endPage32
gi.citation.publisherPlaceBonn
gi.citation.startPage25
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleWorkshop Big Data Management Systems in Business and Industrial Applications (BigBIA17)

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