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.
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Business processes and information systems mutually affect each other in non-trivial ways. 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.
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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.
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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. ContentsIntegration of business processes and information systemsQuality model and notationModel-based quality predictionTarget GroupsResearchers, lecturers, and students from the disciplines of software engineering, business process management, and business informaticsPractitioners from medium-size and large companies interested in requirements management, business analysis, software architecture, process management, and administrationAbout the AuthorRobert Heinrich is head of the Continuous Quality Engineering research group at Karlsruhe Instituteof 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.
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Publication in the field of technical sciences Includes supplementary material: sn.pub/extras

Produktdetaljer

ISBN
9783658065171
Publisert
2014-07-18
Utgiver
Vendor
Springer Vieweg
Høyde
210 mm
Bredde
148 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter

Om bidragsyterne

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.