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Publication

Deriving process specifications from augmented data models

Date
2004
Abstract
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.
Supervisor
Description
non-peer-reviewed
Publisher
Citation
9th Australian Workshop on Requirements Engineering 2004 (AWRE'04);
Collections
Lero - The Science Foundation Ireland Research Centre for Software
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Botterweck_2004_deriving.pdf
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Keywords
software engineering, system analyst
ULRR Identifiers
https://researchrepository.ul.ie/handle/10344/2933
 https://doi.org/10.34961/895
Funding code
Funding Information
Science Foundation Ireland (SFI)
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
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