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Activity mining for discovering software process models

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dc.contributor.authorKindler, Ekkart
dc.contributor.authorRubin, Vladimir
dc.contributor.authorSchäfer, Wilhelm
dc.contributor.editorBiel, Bettina
dc.contributor.editorBook, Matthias
dc.contributor.editorGruhn, Volker
dc.date.accessioned2019-08-13T08:27:56Z
dc.date.available2019-08-13T08:27:56Z
dc.date.issued2006
dc.description.abstractCurrent enterprises spend much effort in obtaining precise models of their software engineering processes in order to improve the process capability of their organization and to move one step forward in the CMM. The manual design of process models, however, is complicated, time-consuming, error-prone and the results are rapidly becoming out-dated; capabilities of humans in detecting discrepancies between the actual process and its model are limited. Thus, automatic techniques for deriving process models are very important. In this paper, we present an approach that exploits the user interaction with a document version management system for the automatic derivation of process modelsen
dc.identifier.isbn3-88579-173-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24310
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2006, Proceedings der Fachtagung des GI-Fachbereichs Softwaretechnik
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-79
dc.titleActivity mining for discovering software process modelsen
dc.typeText/Conference Paper
gi.citation.endPage180
gi.citation.publisherPlaceBonn
gi.citation.startPage175
gi.conference.date28.-31. März 2006
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

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