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Infinite Horizon Decision Support For Rule-based Process Models

Title data

Baumann, Michaela ; Baumann, Michael Heinrich ; Gruber, Dominik Franz-Xaver ; Jablonski, Stefan:
Infinite Horizon Decision Support For Rule-based Process Models.
In: International Journal on Advances in Software. Vol. 9 (2016) Issue 1-2 . - pp. 141-153.
ISSN 1942-2628

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Promotionsstipendium - Hanns Seidel Stiftung e.V. (HSS) - Bundesministerium für Bildung und Forschung (BMBF)No information

Project financing: Bundesministerium für Bildung und Forschung
Hanns-Seidel-Stiftung

Abstract in another language

In recent years, process models tend to turn away from common procedural models to more flexible, rule-based models. These models are characterized by the fact that in each execution step users usually have to decide between several rule-consistent tasks to perform next. Precise execution paths are not given, which is why adequate execution support needs to be provided. Simulation is one means to facilitate the users’ decisions. In this context, we suggest an execution simulation tool with an infinite horizon, i.e., in each (simulated) step, users are informed about the tasks that in any case still need to be done to properly finish one process instance, and about tasks that may no longer be executed. The forecasts consider an actual or a simulated history of the process instance and the rules given by the model. In contrast to systems that show consequences of decisions for the next 1, 2, 3,... steps, our system deals with impacts until the end of the process instance, independent of the length of the instance, i.e., the number of steps, which is what we call “infinite horizon."

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Process execution; Rule-based process models; Process decision support
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: 19 Aug 2016 06:13
Last Modified: 19 Aug 2016 06:13
URI: https://eref.uni-bayreuth.de/id/eprint/34163