Author:
Roy Oberhauser
Affiliation:
Aalen University, Germany
Keyword(s):
Dynamic Business Process Management, Dynamic BPM, Adaptive Process-Aware Information Systems, PAIS, Adaptive Workflow Management Systems, Process Change Patterns, Aspect-Oriented Processes, Cloud-based BPM, Adaptation-as-a-Service, Web Services.
Abstract:
Dynamic business process management (dBPM) is dependent on automated adaptation techniques. While
various approaches to support process adaptation have been explored, they typically involve another or
some combination of modeling paradigms or language extensions. Moreover, cross-cutting concerns and a
distributed and cloud-based process adaptation capability have not been adequately addressed. This paper
introduces AProPro (Adapting Processes via Processes), a flexible and cloud-capable approach towards
dBPM that supports adapting target processes using adaptation processes while retaining an intuitive and
consistent imperative process paradigm. Based on a case study using a REST-based Web Service prototype
realization invoking process adaptation patterns in a distributed of Adaptation-as-a-Service cloud setting,
the initial evaluation results show the feasibility of the approach and gauge its performance in the cloud.