04887nam 22007215 450 991029898350332120200629163437.03-658-06518-410.1007/978-3-658-06518-8(CKB)3710000000187205(EBL)1783575(SSID)ssj0001295507(PQKBManifestationID)11780905(PQKBTitleCode)TC0001295507(PQKBWorkID)11343368(PQKB)10767657(MiAaPQ)EBC1783575(DE-He213)978-3-658-06518-8(PPN)179923439(EXLCZ)99371000000018720520140709d2014 u| 0engur|n|---|||||txtccrAligning Business Processes and Information Systems New Approaches to Continuous Quality Engineering /by Robert Heinrich1st ed. 2014.Wiesbaden :Springer Fachmedien Wiesbaden :Imprint: Springer Vieweg,2014.1 online resource (244 p.)Description based upon print version of record.1-322-17155-6 3-658-06517-6 Includes bibliographical references.Introduction -- 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.Business 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.Software engineeringComputersInformation technologyBusiness—Data processingOperations researchDecision makingSoftware Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Operations Research/Decision Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/521000Software engineering.Computers.Information technology.Business—Data processing.Operations research.Decision making.Software Engineering/Programming and Operating Systems.Information Systems and Communication Service.IT in Business.Operations Research/Decision Theory.005.1670.42Heinrich Robertauthttp://id.loc.gov/vocabulary/relators/aut905496BOOK9910298983503321Aligning Business Processes and Information Systems2025287UNINA