Case study

Complaint Management System

Desktop application for managing student complaints with structured tracking, filtering, search, treatment comments, and statistics.

Role

Java desktop development, database modeling, DAO/service architecture, search/filter workflows, and statistics visualization.

  • Java
  • Swing
  • MySQL
  • JDBC
  • DAO
  • JFreeChart
  • JavaBeans
Complaint Management System cover screenshot

Context

Project overview

The complaint management system focuses on academic complaint tracking where status, comments, filtering, and statistics support follow-up.

Problem

Academic institutions need a structured way to register, process, filter, and analyze student complaints without losing treatment context.

Objectives

  • Complaint registration, processing status, comments, search, and filtering are organized in a desktop workflow.
  • DAO/service architecture separates data access from application logic.
  • README includes UML and architecture diagrams plus a demo video.

Solution

What was built

Built a Java Swing desktop application with MySQL persistence, DAO/service organization, status management, search, filtering, comments, and JFreeChart statistics.

Why this approach

Java Swing, MySQL, JDBC/DAO, JavaBeans, and service organization were used to keep the application structured and maintainable.

Architecture

A structured view of the technical blocks and responsibilities planned in the project.

Frontend

Frontend

Java Swing interface for complaint registration, processing, search, filtering, comments, and statistics.

Backend

Backend

DAO and service organization with JavaBeans to separate data access and application behavior.

Database

Database

MySQL database modeled for students, complaints, processing status, comments, and reporting needs.

Authentication

Authentication

Authentication is not presented as the central feature; complaint tracking and processing workflows are the focus.

Integrations

Integrations

JFreeChart statistics, UML diagrams, architecture diagrams, database modeling, and README demo video.

Technical challenges

  • Keeping complaint processing state visible and easy to update.
  • Supporting search and status filtering without making the interface noisy.
  • Modeling complaint data and statistics in a maintainable Java desktop app.

Engineering decisions

Complaint registration, processing status, comments, search, and filtering are organized in a desktop workflow.

DAO/service architecture separates data access from application logic.

README includes UML and architecture diagrams plus a demo video.

Quality & testing

Quality is presented as a progressive engineering approach: targeted tests, readability, static analysis, and documented decisions.

Testing approach

The README documents architecture and database modeling, while the application separates concerns through DAO and service layers.

Maintainability and analysis

  • Readable architecture and separated responsibilities

Results

  • UML, architecture diagrams, database modeling, and demo video are available in the README.
  • The project demonstrates Java Swing, DAO organization, and statistical visualization.
  • No institutional production usage or processing metrics are claimed.

Lessons learned

These takeaways turn the project into evidence of technical reasoning, not just a feature list.

  • Turn "Academic institutions need a structured way to register, process, filter, and analyze student complaints without losing treatment context." into explicit technical decisions.
  • Present trade-offs clearly so an engineering team can review the reasoning.
  • Connect architecture, testing, and maintainability to a concrete problem.