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✏️ CHALLENGE

Nowadays many pilots work as "freelancers" and do not operate only one aircraft/fleet, which makes it difficult to recognize certain equipment and software versions installed in the aircraft. In addition, the pilot does not always have quick access to all manuals and documents of the aircraft, which hinders his knowledge about the aircraft and its capabilities.

📅 SPRINTS SCHEDULE

  • Kickoff - 13/02/2023 a 03/03/2023

  • SPRINT 1 - 13/03/2023 a 02/04/2023

  • SPRINT 2 - 03/04/2023 a 23/04/2023

  • SPRINT 3 - 24/04/2023 a 14/05/2023

  • SPRINT 4 - 15/05/2023 a 04/06/2023

  • Solutions fair - 13/06/2023 - 14/06/2023 at 7pm

🎯 BACKLOG

  • SPRINT 1

    • Database Modeling
    • Creating the Database in the Cloud
    • Consultation/driver screen with some options
  • SPRINT 2

    • Improve query/driver screen
    • Start editor screen
    • Responsive web and mobile application
    • Generate PDF on the platform
  • SPRINT 3

    • Statistics
    • Authentication (admin)
    • Upload for new data files
  • SPRINT 4

    • Audit
    • Authentication (editor, driver)
    • Rule editor
    • Notification Development
    • User Manual

📔 FUNCTIONAL REQUIREMENTS

• Use of APIs for future integration with mobile platform systems
• Access to the customer database (user, password and equipment)
• Users must have different profiles (administrator, editing and query)
• Possibility of applying selection filters (by item category)
• Visualization of PDF files in the App and possibility of export in the same format, with registration of the file generation date and the user.

🎥 Mockup

🤓 DATA MODELING

modeling

📉 BURNDOWN

burndown

💻 TECHNOLOGY AND TOOLS

Back-End
  • Java
  • Spring boot
Front-End
  • Vue
Database
  • Oracle Autonomous Database
Tools
  • Intellij
  • Visual Studio code

👪 TEAM

team

logoparceria

About

Projeto com objetivo de desenvolver a lógica de verificação e edição de itens instalados ou aplicáveis a determinados "chassis" conforme base de dados fornecida. Também capaz de montar estatísticas baseadas nas informações alocadas em banco de dados Oracle Cloud. Desenvolvido em Java utilizando framework Spring, com front-end em Vue.js e DB Oracle.

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