The DPIL Framework : Tool Support for Agile and Resource-Aware Business Processes

Title data

Schönig, Stefan ; Zeising, Michael:
The DPIL Framework : Tool Support for Agile and Resource-Aware Business Processes.
In: Daniel, Florian ; Zugal, Stefan (ed.): BPM Demo Session 2015 : Proceedings of the BPM Demo Session 2015. Co-located with the 13th International Conference on Business Process Management (BPM 2015). - Innsbruck, Austria , 2015 . - pp. 125-129 . - (CEUR Workshop Proceedings ; 1418 )

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Abstract in another language

The Declarative Process Intermediate Language (DPIL) is a declarative process modelling language that allows for specifying multiperspective and multi-modal agile, i.e., exible, processes. The expressiveness of DPIL and its suitability for business process modelling have been evaluated with respect to the well-known Work ow Patterns. The DPIL Framework provides a tool set for supporting agile and resource aware business processes based on the language DPIL. While the DPIL Modeller component is used to create and verify models, the DPIL Navigator depicts a rule-based execution engine for enacting models. It comprises a web-based worklist which allows process participants to choose and perform tasks. In addition to this, the DPIL Miner component allows for the discovery of DPIL models from event logs.

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 08:00
Last Modified:	06 Jun 2019 09:09
URI:	https://eref.uni-bayreuth.de/id/eprint/34103