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Deriving process specifications from augmented data models

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conference contribution
posted on 2013-03-05, 16:50 authored by Goetz Botterweck, Carlo Simon
This paper presents an approach which enables a system analyst to derive process models from data models. To accomplish this, existing data models are augmented with additional informa-tion regarding the intended process goal and the dependencies which have to be fulfilled. After giving an introductory example and pro-posing a notation for the augmentations, a sim-ple algorithm is sketched. This derives a proc-ess model consisting of all steps necessary to fulfil the specified goal and the related depend-encies.

History

Publication

9th Australian Workshop on Requirements Engineering 2004 (AWRE'04);

Note

non-peer-reviewed

Other Funding information

SFI

Language

English

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