Specification Mining describes the process of creating a specification from a (probably unknown) program using sample executions. Most of the current specification miners are deterministic. This thesis aims to create a probabilistic specification miner. Therefor, a specification miner with three different probabililistic approaches has been implemented and added to the LearnLib-Framework. The implementation has been validated by letting the specification miner rebuild a predefined specification to compare the template and the result, by running a hypothesis-test to compare the used approaches to calculate the probabilities against another and by letting it mine the usage of a real API from n tests and validate them with m more tests.