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Generating Data from Highly Flexible and Individual Process Settings through a Game-based Experimentation Service

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

The ability to adapt process instances to changing requirements has long been recognized as a fundamental research topic. While in some settings, process flexibility is only required in exceptional situations, in other settings it is the key component which drives the process design. Examples can be found in multiple domains, including the nursing domain, where each patient requires his own, individual therapy process which may change on a regular basis. In this paper, such flexible and individual process settings (FIPS) are analyzed and the basic building blocks are defined based on expert interviews and relevant literature. The building blocks are then mapped onto a game-based experimentation service which o ers a simulation and evaluation environment for FIPS. The data generated in this game are evaluated by a comparison with data from a real world FIPS.

Beschreibung

Kaes, Georg; Rinderle-Ma, Stefanie (2017): Generating Data from Highly Flexible and Individual Process Settings through a Game-based Experimentation Service. Datenbanksysteme für Business, Technologie und Web (BTW 2017). Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-659-6. pp. 331-350. Cloud and Benchmarks. Stuttgart. 6.-10. März 2017

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