on the publication serverTitle data
Meerkamm, Stephanie:
Staged Configuration of Multi-perspectives Variants Based on a Generic Data Model.
In: Daniel, Florian ; Barkaoui, Kamel ; Dustdar, Schahram
(ed.):
Business process management workshops : revised selected papers, part II. -
Berlin
: Springer
,
2012
. - pp. 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 in another language
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.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | process variants; staged process configuration; multi-perspectives; generic data model |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
| Date Deposited: | 24 Nov 2016 14:39 |
| Last Modified: | 24 Nov 2016 14:39 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/34927 |
