Estimating the Processing Time of Process Instances in Semi-Structured Processes - A Case Study

Performance analysis of Web applications are rather difficult since people can perform parts of an activity outside the application or get interrupted while performing an activity in the system. The lack of a performance model makes it hard to plan resources or get a better understanding of the way available resources are used. In this paper an approach for determining a performance model for semi-structured processes is applied to a case study

Start Time and Duration Distribution Estimation in Semi-Structured Processes

Semi-structured processes are business workflows, where the execution of the workflow is not completely controlled by a workflow engine, i.e., an implementation of a formal workflow model. Examples are workflows where actors potentially have interaction with customers reporting the result of the interaction in a process aware information system. Building a performance model for resource management in these processes is difficult since the required information is only partially recorded. In this paper we propose a systematic approach for the creation of an event log that is suitable for available process mining tools. This event log is created by an incrementally cleansing of data. The proposed approach is evaluated in an experiment

Inference of resource-based simulation models from process event-log data

This research was focused on inferring resource-based simulation models from data. and has proven it is realistic to do so. The research has discovered a new Process Mining algorithm with superior performance and has developed methods to identify, quantify and discover resource attributes and resource-based decisions from data