Patent ID: 8543552

Claim:
A method for detecting a statistical variation of a process operating in an Information Technology (IT) delivery system from a textual log of the process, the method comprising: grouping, by a process behavior analysis (PBA) engine, entities appearing in the textual log of the process based on a respective time series corresponding to each entity of said entities, wherein a data storage operatively coupled to the PBA engine stores the textual log of the process and at least one exception rule defining the statistical variation used by the PBA engine; analyzing, by a processor of a computer system, statistical process behavior of the process by running the PBA engine with the entities from said grouping such that each entity of said entities is represented by a respective control chart associated with said each entity and such that the PBA engine is enabled to determine whether said each entity violates said at least one exception rule; and generating a PBA report for the process pursuant to a result from said analyzing, wherein the PBA report comprises data items selected from the group consisting of a first time window within which a first time series of a first entity of the entities in the textual log is being monitored by the PBA engine for the statistical variation, a second entity being grouped with the first entity, a first shift value for a first exception detected for the first entity, and combinations thereof.