Abstract: A method of performing a cooperative data processing, said method comprising performing a plurality of processes in each of a plurality of control modules capable of communicating with each other to perform the cooperative data processing, the plurality of processes includes a required application process of the cooperative data processing.

Abstract: Disclosed is a data processing system that permits the analysis of software in the entire data processing system even when it is configured so that a plurality of control modules is dispersively installed at remote places. In the data processing system formed of the control modules, the control modules each include a timer that counts time common to the entire data processing system, and a time synchronization process is employed to synchronize time information derived from the timer in a low-level control module with time information derived from the timer in a high-level control module. The data processing system incorporates a log acquisition function that not only acquires a log but also adds a timestamp based on timer time to the acquired log during, for example, an application process.

Abstract: An analysis device for analyzing an operation of a target system has a behavior model obtained by modeling the operation of the target system, a log in which an event occurring when the target system is operated is recorded in time series is inputted to the analysis device, and the analysis device searches for an event string according to occurrence order obtained by statically analyzing the behavior model, from a plurality of events recorded in the log in time series. In the case where the target system includes a plurality of subsystems, the behavior model includes a plurality of behavior scenarios representing respective behaviors of the subsystems and a configuration model representing connection relation between the subsystems, and in each behavior scenario, a task executed by a corresponding subsystem and an event generated by the task are described.

Abstract: Disclosed is a data processing system that permits the analysis of software in the entire data processing system even when it is configured so that a plurality of control modules is dispersively installed at remote places. In the data processing system formed of the control modules, the control modules each include a timer that counts time common to the entire data processing system, and a time synchronization process is employed to synchronize time information derived from the timer in a low-level control module with time information derived from the timer in a high-level control module. The data processing system incorporates a log acquisition function that not only acquires a log but also adds a timestamp based on timer time to the acquired log during, for example, an application process.