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Improving Collaborative Business Process Execution by Traceability and Expressiveness

Title data

Zeising, Michael ; Schönig, Stefan ; Jablonski, Stefan:
Improving Collaborative Business Process Execution by Traceability and Expressiveness.
In: Carminati, Barbara (ed.): 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom 2012). - Piscataway, NJ , 2012 . - pp. 435-442
ISBN 978-1-4673-2740-4
DOI: https://doi.org/10.4108/icst.collaboratecom.2012.250345

Abstract in another language

The declarative modeling approach promises to be a suitable means for the description of rather unforeseen and less rigid business processes. However, today’s approaches for the execution of such declarative processes lack certain essential capabilities. One of those is traceability which means that the actions proposed by the execution engine are explained and justified. Furthermore, expressivity is mostly limited to static temporal dependencies that lead to a simple temporal ordering of process steps without a proper connection to process perspectives like incorporated data, agents performing the work and utilized tools. Finally, due to their core principles, today’s declarative execution engines suffer from scalability issues. This article outlines a concept and a prototypical implementation of an execution engine that aims to solve the above issues and integrates with current business process frameworks.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 07 Dec 2017 10:17
Last Modified: 07 Dec 2017 10:17
URI: https://eref.uni-bayreuth.de/id/eprint/34906