We still don’t know how much BPMN is enough – but we are getting closer


Autoria(s): zur Muehlen, Michael; Recker, Jan C.
Contribuinte(s)

Bubenko, Janis

Krogstie, John

Pastor, Oscar

Pernici, Barbara

Rolland, Collette

Solvberg, Arne

Data(s)

01/06/2013

Resumo

Process models expressed in BPMN typically rely on a small subset of all available symbols. In our 2008 study, we examined the composition of these subsets, and found that the distribution of BPMN symbols in practice closely resembles the frequency distribution of words in natural language. We offered some suggestions based on our findings, how to make the use of BPMN more manageable and also outlined ideas for further development of BPMN. Since this paper was published it has provoked spirited debate in the BPM practitioner community, prompted the definition of a modeling standard in US government, and helped shape the next generation of the BPMN standard.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/61013/

Publicador

Springer

Relação

http://eprints.qut.edu.au/61013/1/zur_Muehlen%2C_Recker_-_How_Much_BPMN_Do_You_Need_Commentary.pdf

DOI:10.1007/978-3-642-36926-1_36

zur Muehlen, Michael & Recker, Jan C. (2013) We still don’t know how much BPMN is enough – but we are getting closer. In Bubenko, Janis, Krogstie, John, Pastor, Oscar, Pernici, Barbara, Rolland, Collette, & Solvberg, Arne (Eds.) Seminal Contributions to Information Systems Engineering : 25 Years of CAiSE. Springer, Berlin, Heidelberg, pp. 445-451.

Direitos

Copyright 2013 Springer

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #080603 Conceptual Modelling #BPMN #process modeling #empirical research #research agenda
Tipo

Book Chapter