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Incomplete event log management
The growing adoption of IT-systems for modeling and executing (business) processes or services has thrust the investigation towards techniques and tools which support complex forms of process analysis. Many of them, such as conformance checking, process alignment, mining and enhancement, rely on complete observation of past (tracked and logged) executions. In many real cases, however, the lack of human or IT-support on all the steps of process execution, as well as information hiding and abstraction of model and data, result in incomplete log information of both data and activities. This research activity tackles the issue of automatically completing traces with missing information by notably considering not only activities but also data manipulated by them. Our techniques rely on authomated reasoning techniues such as abduction or planning to return solutions.