How well did it recover? Impact-aware conformance checking

摘要

Alignment-based conformance checking techniques detect and quantify discrepancies between process execution and the expected behavior as depicted in process models. However, often when deviations from the expected behavior occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper presents a conformance checking approach which considers the response to and recovery from unexpected deviations during process execution, by analyzing the data updates involved and their impact on the expected behavior. We evaluated our approach by applying it to a real-life case study, utilizing different baseline alignment techniques. The results show that our approach succeed to capture adapted behavior in response to deviations and may provide insights concerning the implications of deviations in the process.