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.

Publication in the field of technical sciences Includes supplementary material: sn.pub/extras

Autorentext
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.

Inhalt
Introduction.- Business Process Quality.- Terms and Denitions.- Business Process Quality.- Quality Modeling within Business Process Models.- Aligning Business Process Design and Information System Design.- Foundations and Denitions.- 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.