Kabushiki Kaisha Toshiba

Masayuki Hirayama

Katsuhiko Ueki

Wataru Okamoto

Humitaka Tamura

An object state classification method includes a step of designating a to-be-determined object that is to be determined, and a state of the to-be-determined object, a step of creating a method set including, as elements, methods called from the designated state of the to-be-determined object, a step of using, as a to-be-determined state, the designated state of the to-be-determined object or another state obtained by calling methods from the designated state, and executing a program for calling methods included in the method set from the to-be-determined state, a step of recording an execution result in a case of calling the methods, and a step of creating a pseudo-state by merging a method group that is the elements of the method set, and the execution result in the case of calling each method of the method group, in association with the to-be-determined state of the to-be-determined object.

Object state classification method and system, and program therefor

One of log analysis methods of the present invention includes the step of executing a program a plurality of times; executing a program a plurality of times; the step of generating a plurality of logs, each log being recorded a plurality of events occurring upon the execution of the program according to an occurrence order of each of the events in each of the logs; the step of performing a first calculation to calculate an event occurrence probability, for the occurrence order of each event, based on at least one from the program description concerning each event recorded in the logs and the data to be used upon the execution of the program description; and the step of outputting information concerning an event which corresponds to a characteristic included in the logs, based on the event occurrence probability.

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Yokohama, Japan

Masayuki Hirayama