Aligning Business Processes and Information Systems: New by Robert Heinrich

By Robert Heinrich

Business techniques and data structures jointly have an effect on one another in non-trivial methods. usually, methods are designed with out taking the structures’ impression under consideration, and vice versa. lacking alignment at design-time ends up in caliber difficulties at run-time. Robert Heinrich offers examples from examine and perform for an built-in layout of strategy and procedure caliber. a high quality reference-model characterizes procedure caliber and a procedure notation is prolonged to operationalize the version. Simulation is a robust capability to foretell the mutual caliber impression, to check layout choices, and to make sure them opposed to standards. the writer describes simulation techniques and discusses attention-grabbing insights on their software in practice.

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Extra resources for Aligning Business Processes and Information Systems: New Approaches to Continuous Quality Engineering

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The ISO/IEC 9126-1 software product quality characteristics are taken for resources and are also adapted for activities. , documents or data records used in the BP), the ISO/IEC 25012 data quality characteristics are taken. 3 The Business Process Quality Reference-Model 31 acteristics were developed based on quality aspects from related work (cf. [Fischermanns (2009), Heravizadeh et al. (2009), Ehlers (2004), Gabriel et al. (2002)]). Note, cost is not considered as a quality characteristic in the BPQRM.

ISO/IEC TR 25021]) was not chosen to assess learnability, as it was considered as less expressive than the frequency of faulty operations (correct execution). Moreover, attributes, which do not promise to bring additional knowledge, were excluded. For example, the attribute actor documentation (derived from [ISO/IEC TR 25021]) was not chosen, as it was already known that there is no documentation available. In the operational view, attributes that can be captured without additional auxiliary means were selected.

Aforementioned related work is also a source of measures related to the attributes. Attributes can be analyzed and appropriate ones can be identified, using the selection criteria. For each criterion, a justification should be recorded to support the reproduction of the analysis. We propose to use a matrix form, with the selection criteria on one axis, and the attributes on the other axis to document the justification. Phase 2, create questions: After the selection of the attributes, the questions have to be created.

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