
Developed and integrated a comprehensive Dataset Rating Update Feature for the 03albert09/IWO repository, focusing on robust requirements engineering and use case definition. The implementation covered all main scenarios, including both success and failure flows, and introduced thorough validation and error handling to prevent invalid or unsaved ratings. Data structures for rating information and standardized success messages were defined to ensure reliable user interactions and clear governance signals. The work, completed using RSL Bis and RSLBis, established a consistent API flow for rating updates and laid the foundation for improved dataset quality management within the project’s codebase during the development period.
May 2025 — Focused on delivering a robust Dataset Rating Update Feature for the 03albert09/IWO repository, including full scenario coverage, success and failure flows, and robust error handling for invalid or unsaved ratings. Defined data structures for rating and standardized success messages, enabling reliable user interactions and governance signals. Two commits implemented the feature and merged UC7002 into main.
May 2025 — Focused on delivering a robust Dataset Rating Update Feature for the 03albert09/IWO repository, including full scenario coverage, success and failure flows, and robust error handling for invalid or unsaved ratings. Defined data structures for rating and standardized success messages, enabling reliable user interactions and governance signals. Two commits implemented the feature and merged UC7002 into main.

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