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Alignment-based conformance checking techniques detect and quantify deviations of process execution from expected behavior as depicted in process models. However, often when deviations occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This p...
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... we generated scenarios where random noise was added. The numbers of simulated cases for these types are listed in Table 1. For each scenario type, we analyzed the expected differences between standard and impact-aware fitness (column 5 in the table, where standard fitness is marked as F, and impact-aware fitness -as IaF). ...Similar publications
The EU AI Act is the first step toward a comprehensive legal framework for AI. It introduces provisions for AI systems based on their risk levels in relation to fundamental rights. Providers of AI systems must conduct Conformity Assessments before market placement. Recent amendments added Fundamental Rights Impact Assessments for high-risk AI syste...
Citations
... The basic ideas of our impact-aware conformance checking approach have already been introduced in [29]. Here we extend this paper in three directions. ...
... A preliminary evaluation of the suggested approach was reported in [29]. That evaluation followed a controlled setting with simulated data and a single baseline alignment technique (Adriansyah et al. [2]). ...
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.
