bei Google ScholarTitelangaben
Meerkamm, Stephanie:
Staged Configuration of Multi-perspectives Variants Based on a Generic Data Model.
In: Daniel, Florian ; Barkaoui, Kamel ; Dustdar, Schahram
(Hrsg.):
Business process management workshops : revised selected papers, part II. -
Berlin
: Springer
,
2012
. - S. 326-337
. - (Lecture Notes in Business Information Processing
; 100
)
ISBN 978-3-642-28114-3
DOI: https://doi.org/10.1007/978-3-642-28115-0_31
Abstract
Usually, for a particular business process different variants exist in order to fulfill the individual requirements of the different users. The management of the process variability is an important aspect mainly during modeling which serves for the purpose of documentation. One common way to deal with variability is configuration. This paper presents a generic concept of a configurator which captures the characteristics of the process domain, inter alia the multi-perspectives of processes. One ofthe main contributions of this paper is intended to be a staged configuration process. The sequence of the partial decisions concerning the selection of a variant can be determined individually. In order to capture the process variability we developed a generic data model which empowers the derivation of variants based on a process model which integrates all possible variants.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | process variants; staged process configuration; multi-perspectives; generic data model |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Eingestellt am: | 24 Nov 2016 14:39 |
| Letzte Änderung: | 24 Nov 2016 14:39 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/34927 |