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  1. OpenShift Specialist Platform Team
  2. SPLAT-2291

Bot Trainer: Automate Consumption of Existing Refinement Data

    • Icon: Story Story
    • Resolution: Unresolved
    • Icon: Minor Minor
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      {}USER STORY:{}

      As a Bot Trainer, I want the bot to automatically consume existing summary and description data from Jira issues, so that manual input is minimized and the bot's refinement assessments are grounded in historical team data.

      {}DESCRIPTION:{}

      The bot's training pipeline should automatically identify and use any existing refinement source fields within Jira issues (e.g., 'Description', 'Summary' field) to build its refinement assessment model.

      {}Required:{}

      ...

      {}Nice to have:{}

      ...

      {}ACCEPTANCE CRITERIA:{}

      • The bot's ingestion process correctly identifies and extracts the 'Summary' and 'Description' fields from Jira issues.
      • This extracted 'Summary' and 'Description' data is used as a feature or target variable in the bot's refinement model training.
      • The bot's refinement assessments are informed by the historical refinement patterns of the team.
      • The process handles cases where refinement source data might be missing or inconsistent.

      {}ENGINEERING DETAILS:{}

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              Unassigned Unassigned
              rhn-support-rvanderp Richard Vanderpool
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                Created:
                Updated: