Task Execution Progress Determination Using Historical Data

The patent changes the parameter assumption from uniform completion time to variable completion time based on historical execution information. By retrieving historical execution times for each sub-task and using them to calculate expected completion times, the system adapts the time parameter to reflect actual task characteristics rather than assuming a uniform value, thereby improving execution progress accuracy while maintaining reasonable calculation complexity through the use of pre-collected historical data.

The patent applies preliminary action by collecting and storing historical execution information for each sub-task before it is needed for progress calculation. The system pre-retrieves execution times from historical data, pre-calculates expected completion times based on these historical values, and stores this information for future use. This preliminary preparation reduces the complexity of real-time data processing during actual progress monitoring, as the heavy lifting of data collection and initial analysis is done in advance.

The patent uses copying by retrieving and utilizing historical execution information as a copy of past performance data. Instead of performing complex real-time analysis of current task execution characteristics, the system copies relevant time parameters from historical execution records of similar sub-tasks. This copying approach provides accurate variable execution time estimates without the computational overhead of analyzing current task dynamics, as the historical copies already encapsulate the variability patterns.