Towards cross-organizational process mining in collections of process models and their executions

Autor: Buijs, J.C.A.M., Dongen, van, B.F., Aalst, van der, W.M.P., Daniel, F., Barkaoui, K., Dustdar, S.
Přispěvatelé: Process Science
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Business Process Management Workshops ISBN: 9783642281143
Business Process Management Workshops (2)
Business Process Management Workshops (BPM 2011 International Workshops, Clermont-Ferrand, France, August 29, 2011, Revised Selected Papers, Part II), 2-13
STARTPAGE=2;ENDPAGE=13;TITLE=Business Process Management Workshops (BPM 2011 International Workshops, Clermont-Ferrand, France, August 29, 2011, Revised Selected Papers, Part II)
ISSN: 1865-1348
DOI: 10.1007/978-3-642-28115-0_2
Popis: Variants of the same process may be encountered in different organizations, e.g., any municipality will have a process to handle building permits. New paradigms such as Software-as-a-Service (SaaS) and Cloud Computing stimulate organizations to share a BPM infrastructure. The shared infrastructure has to support many processes and their variants. Dealing with such large collections of similar process models for multiple organizations is challenging. However, a shared BPM infrastructure also enables cross-organizational process mining. Since events are recorded in a unified way, it is possible to cross-correlate process models and the actual observed behavior in different organizations. This paper presents a novel approach to compare collections of process models and their events logs. The approach is used to compare processes in different Dutch municipalities. Keywords: cross-organizational process mining – software-as-a-service – process model collections – configurable process models
Databáze: OpenAIRE