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Towards Model-based Performance Predictions of SAP Enterprise Applications

dc.contributor.authorStreitz, Adrian
dc.contributor.authorBarnert, Maximilian
dc.contributor.authorRank, Johannes
dc.contributor.authorKienegger, Harald
dc.contributor.authorKrcmar, Helmut
dc.contributor.editorKelter, Udo
dc.date.accessioned2023-02-27T13:46:43Z
dc.date.available2023-02-27T13:46:43Z
dc.date.issued2019
dc.description.abstractHigh-performing Enterprise Applications are the basis for efficient running business processes. In order to evaluate software performance, traditional methods refer to complex test scenarios following the development phase and neglect that problems are easier fixable when discovered early. This paper tackles the problem of late performance evaluations and presents a conceptual approach that enables response time predictions for SAP Enterprise Applications during the development phase. We introduce a performance model generator that transforms ABAP source code into Palladio Component Model instances by using Abstract Syntax Trees which allows to conduct early performance simulations. Our approach supports conditional and probabilistic control flows to improve prediction accuracy. Based on subsequent performance simulations, we predict response time of applications and their underlying processing systems.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 39, Heft 3
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectperformance
dc.subjectevaluations
dc.subjectresponse time
dc.subjectpredictions
dc.titleTowards Model-based Performance Predictions of SAP Enterprise Applicationsen
dc.typeText/Conference Paper
gi.citation.endPage60
gi.citation.publisherPlaceBonn
gi.citation.startPage58
gi.conference.date8.-9. November 2018
gi.conference.locationHildesheim
gi.conference.sessiontitle9th Symposium on Software Performance (SSP 2018)

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