CineMax-Diseno-De-Software-GR3SW/CineMax
Jul 2025 – Aug 2025
2 Months active
Languages Used
CSSJavaJavaFXPlantUMLSQLXML
Technical Skills
Backend DevelopmentBackend IntegrationCSS StylingData ModelingDatabase InteractionDatabase Management
alexisv-275
PROFILE
Alexisv-275
Over two months, contributed to the CineMax-Diseno-De-Software-GR3SW/CineMax repository by building robust backend and UI features for cinema management. Developed a persistent Function domain model with stored procedures and optimized DAO queries using Java and SQL, enabling reliable scheduling and room-based workflows. Enhanced the UI with improved validation, explicit search actions, and standardized feedback, leveraging JavaFX and CSS for a more consistent user experience. Refactored popup handling and introduced ENUMs for pricing logic, while expanding documentation with UML diagrams. Addressed bugs in duration calculation and IO errors, resulting in a more maintainable, business-friendly application with improved data quality.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
30Total
Bugs
3
Commits
30
Features
13
Lines of code
3,257
Activity Months2
Your Network
23 peopleWork History
August 2025
9 Commits • 5 Features
Aug 1, 2025August 2025 accomplishments in CineMax focused on delivering a more reliable, consistent, and business-friendly UI for movie management and showings, with a shift from real-time search to explicit actions, improved form validation, and clearer user feedback. This work reduced user errors, standardized cross-screen UX, and improved maintainability, enabling faster content operations and better data quality.
9 Commits • 5 Features
Aug 1, 2025August 2025 accomplishments in CineMax focused on delivering a more reliable, consistent, and business-friendly UI for movie management and showings, with a shift from real-time search to explicit actions, improved form validation, and clearer user feedback. This work reduced user errors, standardized cross-screen UX, and improved maintainability, enabling faster content operations and better data quality.
August 2025
July 2025
21 Commits • 8 Features
Jul 1, 2025July 2025 — Focused on establishing a scalable Function management capability and strengthening room-based workflows, with measurable business value in persistence, scheduling, and UX. Key outcomes include a persistent Function domain model and DAO with stored procedures, enabling reliable function persistence and future automation. The Function API surface was completed with a Controller and Service, scheduling logic, and room-level queries for listing and details, plus deletion, unlocking end-to-end management of functions. A basic testing room logic was added to support test scenarios, and UI improvements were introduced: a Fin column in the Functions view to avoid overlaps and a refined window sizing behavior, underpinned by a Common Methods Handler for popups. Performance and quality gains were achieved through DAO query optimizations and refactoring, plus broader test scaffolding. Documentation enhancements included Movies module diagrams to improve architecture understanding. Data modeling was expanded with ENUMs for ticket multipliers to support pricing and ticketing logic. The release also fixed several issues: movie update restrictions, duration calculation (function duration = movie duration + 40 minutes), IO errors when loading rooms for filters, and UI sizing inconsistencies.
July 2025
21 Commits • 8 Features
Jul 1, 2025July 2025 — Focused on establishing a scalable Function management capability and strengthening room-based workflows, with measurable business value in persistence, scheduling, and UX. Key outcomes include a persistent Function domain model and DAO with stored procedures, enabling reliable function persistence and future automation. The Function API surface was completed with a Controller and Service, scheduling logic, and room-level queries for listing and details, plus deletion, unlocking end-to-end management of functions. A basic testing room logic was added to support test scenarios, and UI improvements were introduced: a Fin column in the Functions view to avoid overlaps and a refined window sizing behavior, underpinned by a Common Methods Handler for popups. Performance and quality gains were achieved through DAO query optimizations and refactoring, plus broader test scaffolding. Documentation enhancements included Movies module diagrams to improve architecture understanding. Data modeling was expanded with ENUMs for ticket multipliers to support pricing and ticketing logic. The release also fixed several issues: movie update restrictions, duration calculation (function duration = movie duration + 40 minutes), IO errors when loading rooms for filters, and UI sizing inconsistencies.
Activity
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Quality Metrics
Correctness86.8%
Maintainability86.4%
Architecture82.0%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSJavaJavaFXPlantUMLSQLXML
Technical Skills
Backend DevelopmentBackend IntegrationCSS StylingData ModelingDatabase InteractionDatabase ManagementDatabase OptimizationDiagrammingEnum DesignError HandlingFXMLFront-end DevelopmentGUI DevelopmentInput ValidationJava
Repositories Contributed To
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