Abstract
Process mining analyzes business processes constructed on event logs. To derive a process model from a log of recorded events, HMM and reliability metrics are used to derive the required petri net. Two software reliability datasets are used to derive petri nets. This dataset describes particular software's failure cycle. Using this failure cycle, its corresponding event log is recorded. HMM and software reliability are used to track recorded event logs.
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