{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10540573","patent":{"patent_number":"US-10540573","title":"Story cycle time anomaly prediction and root cause identification in an agile development environment","assignee":null,"inventors":[],"filing_date":"2018-12-06T00:00:00.000Z","publication_date":"2020-01-21T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06F"],"num_claims":28,"abstract":"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."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Story cycle time anomaly prediction and root cause identification in an agile development environment","description":"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 deve","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10540573","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10540573","citation_suggestion":"Patentable. \"Story cycle time anomaly prediction and root cause identification in an agile development environment\" (US-10540573). https://patentable.app/patents/US-10540573","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10540573","json":"https://patentable.app/api/llm-context/US-10540573","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T22:14:12.297Z"}