John Wondoh
ABSTRACT
In today's enterprise environment, business processes no longer operate in an isolated fashion, driven purely by human input. Instead, they exchange information across organisations as well as interacting directly with sensors and actuators in the Internet of Things. This means that traditional assumptions about processes having a "perfect" view of the world no longer hold as real world events affect prior plans. Critical decisions must be made based on temporal information of events which potentially lead to reconfiguration of business processes to provide the desired service within specified time limits. Currently, temporal aspects of business processes only consider events in a single time dimension. However, recent architectures such as modern database systems are starting to provide the capabilities for handling two time dimensions. In this paper, we investigate how the impact of a change in an event can be identified using bitemporal information from business events. We take into consideration the underlying data model as well as behaviour specifications in the form of artifact lifecycles. Identifying the impact will enable us to tailor appropriate process adaptions as a result of event time changes.
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