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Process observation as support for evolutionary process engineering

Title data

Schönig, Stefan ; Seitz, Michael ; Piesche, Claudia ; Zeising, Michael ; Jablonski, Stefan:
Process observation as support for evolutionary process engineering.
In: International Journal on Advances in Systems and Measurements. Vol. 5 (2012) Issue 3 & 4 . - pp. 188-202.
ISSN 1942-261x

Official URL: Volltext

Abstract in another language

The Process Observation project is used to generate business process execution logs and guides process participants through process execution. In this contribution, we introduce process evolution as an economic field of application for process observation. There are different needs for process evolution, e.g., to establish more consistent process results, continuously measure and improve process performance or meet accreditation requirements. We will show how process discovery, process guidance and process evidence as the main basic functions of process observation can be applied as support for reasonable process evolution. In this way, process observation can be used to reach a desired evolution stage or rather facilitate the transition between two maturity levels. Furthermore, process observation serves as an implementation for certain evolution stages itself and can additionally be consulted to prove the conformance to quality requirements of maturity levels.

Further data

Item Type: Article in a journal
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: 08 Dec 2017 07:14
Last Modified: 08 Dec 2017 07:14
URI: https://eref.uni-bayreuth.de/id/eprint/34908