
S. Morikang developed core features for the SE4CPS/DMS repository, focusing on a flower shop management web application over two months. They implemented CRUD operations for flowers, customers, and orders using Flask and Python, integrating both SQLite and PostgreSQL for data storage and performance evaluation. Their work included automatic watering level updates and safeguards to maintain data integrity, such as capping negative values. By providing basic HTML templates and repository scaffolding, S. Morikang enabled rapid iteration and user feedback. The engineering approach emphasized maintainability and reliability, with clear commit history and collaborative milestones supporting future enhancements and scalable feature delivery.

April 2025: Delivered MVP Flower Shop Management Web Application as part of SE4CPS/DMS, enabling management of flowers, customers, and orders with interfaces to update watering levels and to perform slow/fast PostgreSQL queries. Included basic HTML templates and repository scaffolding for rapid iteration.
April 2025: Delivered MVP Flower Shop Management Web Application as part of SE4CPS/DMS, enabling management of flowers, customers, and orders with interfaces to update watering levels and to perform slow/fast PostgreSQL queries. Included basic HTML templates and repository scaffolding for rapid iteration.
March 2025 focused on delivering core flower shop management features and hardening data integrity in SE4CPS/DMS. Implemented CRUD operations for flowers with automatic watering level updates (SQLite + Flask) and introduced guardrails to prevent negative water levels, improving data reliability and operational continuity for the Flower Shop module.
March 2025 focused on delivering core flower shop management features and hardening data integrity in SE4CPS/DMS. Implemented CRUD operations for flowers with automatic watering level updates (SQLite + Flask) and introduced guardrails to prevent negative water levels, improving data reliability and operational continuity for the Flower Shop module.
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