Michael Zeising

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The spectrum of an organization's business processes ranges from routine processes with a well-defined flow to agile processes with a degree of uncertainty. The Process Navigation platform aims at supporting both types of processes as well as combinations of them. It offers execution support for traditional flow-oriented notations like BPMN as they are(More)
The Declarative Process Intermediate Language (DPIL) is a declarative process modelling language that allows for specifying multiperspective and multi-modal agile, i.e., flexible, processes. The expressiveness of DPIL and its suitability for business process modelling have been evaluated with respect to the well-known Workflow Patterns. The DPIL Framework(More)
Most real-world business processes involve a combination of both well-defined and previously modelled as well as unforeseen and therefor unmodelled scenarios. The goal of comprehensive process management should be to cover all actually performed processes by accurate models so that they may be fully supported by IT systems. Unmodelled processes can be(More)
Process management systems play an important role for today's information systems. They coordinate the work items among employees and ensure the correct execution of processes. In this paper we focus on the organizational perspective of process management systems. This perspective is responsible for assigning people together with their roles within business(More)
Recent work shows an increasing interest of the Business Process Management (BPM) community in unstructured, so-called "human-centric" processes. Case Management (CM) is a new trend that focuses on the support of collaborative human-centric processes. Although CM provides concepts that support human-centric work, processes have to be modelled beforehand in(More)
In this paper we describe how declarative process modeling together with ontologies can be used to build complex clinical process models. Our approach supports the definition of functional, behavioral, organizational, data and operational process perspectives, resulting in an expressive and flexible modeling language. We use constraints for representing(More)
The execution order of work steps within business processes is influenced by several factors, like the organizational position of performing agents, document flows or temporal dependencies. Process mining techniques are successfully used to discover execution orders from process execution logs automatically. However, the methods are mostly discovering the(More)
The declarative modeling approach promises to be a suitable means for the description of rather unforeseen and less rigid business processes. However, today's approaches for the execution of such declarative processes lack certain essential capabilities. One of those is traceability which means that the actions proposed by the execution engine are explained(More)
Agile processes depend on human resources, decisions and expert knowledge and are especially versatile and comprise rather complex coherencies. Rule-based process models are well-suited for modeling these processes. There exist a number of process mining approaches to discover rule-based process models from event logs. However, existing rule-based(More)