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AssigneeFmr LLC
InventorsPu Li, Liang Chen, XiaoJia Yang, Zanyu Xie, Yulong Zhang
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Methods and apparatuses are described for automated computer text classification and routing using artificial intelligence transfer learning. A server captures historical story data from an Agile development tracking system. For each completed story, the server generates a vector based upon story-specific features and assigns a label to the vector based upon a cycle time associated with the story. The server trains a classification model using a neural network on the vectors and labels. The server captures new story data from the Agile development tracking system. For each new story, the server generates a vector based upon story-specific features and executes the trained model on the vector to generate a cycle time prediction for the new story. Based upon the cycle time prediction, the server identifies deficiencies in the new story and generates an alert message.
A system for story cycle time anomaly root cause identification and prediction in an Agile development environment, the system comprising:
A computerized method of story cycle time anomaly root cause identification and prediction in an Agile development environment, the method comprising:
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