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A Journey to comprehensible User Behavior Models

dc.contributor.authorJung, Reiner
dc.contributor.authorJürgensen, Lars
dc.contributor.editorKelter, Udo
dc.date.accessioned2022-11-24T10:42:02Z
dc.date.available2022-11-24T10:42:02Z
dc.date.issued2020
dc.description.abstractEngineers use workload models to estimate the future utilization of services, understand usage profiles of services, and drive plans to evolve software systems. We usually separate workloads in intensities and user behavior models in context of performance evaluations and forecasting. Outside of software engineering user behaviors are often collected in clickstreams. They may represent the complete history of a user at one site. Ideally, a number of clickstreams can be transformed into a user behavior model containing multiple typical behavior pattern usable for a workload model. While the collection of user behaviors is fairly simple, the extraction of behavioral patterns is complicated. Current approaches are tailored for specific domains, are only applicable for one purpose, and refuse to be understood and analyzed in a meaningful way. In this paper, we introduce our latest advances to identify a suitable identification approach and layout further obstacles which must overcome to have comprehensible user behavior models.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39783
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 40, Heft 3
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectservice
dc.subjectperformance
dc.subjectuser behavior
dc.subjectforecast
dc.subjectbehavior pattern
dc.titleA Journey to comprehensible User Behavior Modelsen
dc.typeText/Conference Paper
gi.citation.endPage36
gi.citation.publisherPlaceBonn
gi.citation.startPage34
gi.conference.date44147
gi.conference.locationLeipzig
gi.conference.sessiontitleSymposium on Software Performance (SSP)

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