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
Alexis Villareal contributed to the CineMax-Diseno-De-Software-GR3SW/CineMax repository by developing robust backend and UI features for movie and function management over two months. He designed persistent domain models and APIs using Java, JavaFX, and SQL, implementing stored procedures for reliable data handling and optimizing DAO queries for performance. His work included building scheduling logic, refining UI elements for consistency, and introducing explicit search actions to improve user experience and data quality. Alexis also enhanced error handling, input validation, and documentation with UML diagrams, demonstrating a thoughtful approach to maintainability and cross-layer integration across backend and frontend components.
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 people
Work 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
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