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001 978-3-658-06518-8
003 DE-He213
005 20200420220223.0
007 cr nn 008mamaa
008 140709s2014 gw | s |||| 0|eng d
020 _a9783658065188
_9978-3-658-06518-8
024 7 _a10.1007/978-3-658-06518-8
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aUL
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
100 1 _aHeinrich, Robert.
_eauthor.
245 1 0 _aAligning Business Processes and Information Systems
_h[electronic resource] :
_bNew Approaches to Continuous Quality Engineering /
_cby Robert Heinrich.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2014.
300 _aXXII, 233 p. 36 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Business Process Quality -- Terms and Definitions -- Business Process Quality -- Quality Modeling within Business Process Models -- Aligning Business Process Design and Information System Design -- Foundations and Definitions -- The Order Picking Process and Involved Information System -- Mutual Performance Impact between Business Processes and Information Systems -- Predicting the Mutual Performance Impact between Business Processes and Information Systems -- Extending Palladio by Business Process Simulation Concepts to Enable an Integrated Simulation -- Validation -- Conclusion -- Summary and Future Work.
520 _aBusiness processes and information systems mutually affect each other in non-trivial ways. Frequently, processes are designed without taking the systems' impact into account, and vice versa. Missing alignment at design-time results in quality problems at run-time. Robert Heinrich gives examples from research and practice for an integrated design of process and system quality. A quality reference-model characterizes process quality and a process notation is extended to operationalize the model. Simulation is a powerful means to predict the mutual quality impact, to compare design alternatives, and to verify them against requirements. The author describes two simulation approaches and discusses interesting insights on their application in practice. Contents Integration of business processes and information systems Quality model and notation Model-based quality prediction Target Groups Researchers, lecturers, and students from the disciplines of software engineering, business process management, and business informatics Practitioners from medium-size and large companies interested in requirements management, business analysis, software architecture, process management, and administration About the Author Robert Heinrich is head of the Continuous Quality Engineering research group at Karlsruhe Institute of Technology. He is interested in quality modeling, analysis, and evolution of processes and systems, with a focus on industrial application. This was also the topic of his doctoral thesis created at University of Heidelberg.
650 0 _aComputer science.
650 0 _aOperations research.
650 0 _aDecision making.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aSoftware engineering.
650 0 _aComputers.
650 1 4 _aComputer Science.
650 2 4 _aSoftware Engineering/Programming and Operating Systems.
650 2 4 _aInformation Systems and Communication Service.
650 2 4 _aIT in Business.
650 2 4 _aOperation Research/Decision Theory.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783658065171
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-658-06518-8
912 _aZDB-2-SCS
942 _cEBK
999 _c52024
_d52024