SYSTEM AND A METHOD FOR OPTIMIZING SPRINT-BASED TASKS IN AGILE METHODOLOGY
Abstract:
The present invention provides for a system for optimizing sprint-based tasks implemented in an agile methodology. The system comprises a memory and a processor configured to execute a task optimization engine to receive input data comprising story point data associated with historical user stories captured during previous sprints, where the input data is analyzed to determine a first feature dataset. A timeseries dataset is determined for forecasting unplanned task for upcoming sprint based on analysis of the input data associated with unplanned task of the previous sprints and a dataset associated with attributes is determined based on the input data associated with the previous sprints for story point data of an upcoming sprint. The datasets are combined to generate a persistent identifier for sprint capacity buffer data values to optimize sprint-based tasks in agile methodology.
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