Extracting accurate performance indicators from execution logs using process models

Performance indicators (PIs) are defined to measure the progress towards the achievement of goals. The input to calculate these measures are the daily operations of an organization. Business processes are the means by which an organization operationalizes the achievement of its goals. So, it is logical to measure PIs based on business processes performance. Processes manifest their performance in execution logs where process and context data are recorded. In this paper, we introduce a new approach that uses information stored in process execution logs in order to extract more detailed and accurate performance measures. We show how the inclusion of information about activity lifecycles and process models can help achieve that. In addition, we evaluate our approach against similar approaches by using both real and synthetic logs.