Ansatte – Københavns Universitet

5th International Workshop on Declarative/Decision/Hybrid Mining and Modeling for Business Processes (DeHMiMoP’17)

Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

Jan Vanthienen, Claudio Di Ciccio, Hajo A. Reijers, Tijs Slaats, Dennis Schunselaar, Soren Debois

Rules, decisions, and workflows are intertwined components
depicting the overall process. So far imperative workflow modelling languages
have played the major role for the description and analysis of business processes.
Despite their undoubted efficacy in representing sequential executions,
they hide circumstantial information leading to the enactment of activities, and
obscure the rationale behind the verification of requirements, dependencies, and
goals. This workshop aimed at providing a platform for the discussion and
introduction of new ideas related to the development of a holistic approach that
encompasses all those aspects. The objective was to extend the reach of the
business process management audience towards the decisions and rules community
and increase the integration between different imperative, declarative
and hybrid modelling perspectives. Out of the high-quality submitted manuscripts,
three papers were accepted for publication, with an acceptance rate of
50%. They contributed to foster a fruitful discussion among the participants
about the respective impact and the interplay of decision perspective and the
process perspective.
TitelBusiness Process Management Workshops : BPM 2017 International Workshops, Barcelona, Spain, September 10–11, 2017, Revised Papers
RedaktørerErnest Teniente, Matthias Weidlich
ISBN (Trykt)978-3-319-74029-4
ISBN (Elektronisk)978-3-319-74030-0
StatusUdgivet - 2018
Begivenhed15th International Conference on Business Process Management - Barcelona, Spanien
Varighed: 10 sep. 201715 sep. 2017
Konferencens nummer: 15


Konference15th International Conference on Business Process Management
NavnLecture Notes in Business Information Processing

ID: 202483782