Assessment Item 2 Due Date: Thursday Of Week 11

Assessment Item 2 due Date: Thursday of Week 11 ASSESSMENT Weighting: 30%

The task is to develop a Java application that reads travel booking data from a text file (inBooking.txt), displays data, sorts data by booking name, searches by booking name, and saves data to a file (outBooking.txt). The application should have a GUI with a menu bar containing three menus ("File", "Sort Data", "Search Data") and a text display area.

The "File" menu includes items to open and read data into a collection, display data in the text area, save data to a file, and exit. The "Sort Data" menu offers Bubble Sort and Merge Sort options to sort booking data by name, displaying sorted data. The "Search Data" menu provides options for Linear and Binary Search to find a booking name, with input validation.

Data from inBooking.txt consists of Booking Id, Booking Name, Flight cost, Accommodation cost, Meal cost, and Total Expenses. The application must store this data in either a LinkedList or ArrayList of Booking objects. Sorting algorithms (Bubble Sort and Merge Sort) should be used; searching algorithms (Linear and Binary Search) should be implemented, with performance comparison based on runtime with large datasets. The application should handle input validation and display appropriate messages for user interactions.

Two classes are required: Booking, representing individual bookings with relevant fields, and ProcessBookingApplication, managing the GUI and processing logic.

The assignment involves implementing the described functionalities in Java, testing with large datasets, evaluating algorithm efficiency, and documenting findings in Report.docx, including performance comparisons of sorting and searching algorithms.

Paper For Above instruction

Introduction

Developing efficient Java applications that handle data processing, visualization, and algorithm evaluation is fundamental in software development. This paper discusses the implementation of a Java-based travel booking management system, focusing on object-oriented design, GUI development, and algorithm analysis, specifically sorting and searching algorithms.

Application Design and Implementation

The application employs two core classes: Booking and ProcessBookingApplication. The Booking class encapsulates individual booking details such as Booking Id, Name, Flight, Accommodation, Meal, and Total Expenses, providing getters and setters for data encapsulation. This class serves as the data model for the application.

The ProcessBookingApplication class manages the GUI components, including a menu bar with "File," "Sort Data," and "Search Data" menus, alongside a text area for displaying data. The menu items facilitate loading data from the inBooking.txt file, display, save, and exit functionalities, as well as sorting and searching operations.

File Handling and Data Storage

The application reads data from inBooking.txt, parsing each line to create Booking objects stored in an ArrayList or LinkedList. Data is displayed in the GUI's text area. When saving, the data is written back to outBooking.txt in the same format, ensuring data persistence and integrity. Error handling is incorporated to manage file access issues.

Sorting Algorithms

Two sorting algorithms are implemented: Bubble Sort and Merge Sort, both ascending by booking name. Bubble Sort involves repeatedly swapping adjacent elements if they are in wrong order, effectively pushing the largest elements to the end with each pass. Merge Sort divides the list into halves, recursively sorts them, and then merges. Performance tests with large datasets are conducted to compare execution times. Results indicate that Merge Sort is generally more efficient for large data due to its divide-and-conquer approach, with its time complexity at O(n log n), vs Bubble Sort’s O(n^2).

Searching Algorithms

The system provides linear search and binary search functionalities. Linear Search sequentially scans each Booking object comparing names until a match is found or the list is exhausted. Binary Search requires the data to be sorted; it repeatedly divides the search interval in half, comparing the target name to the middle element, significantly reducing search time in large datasets. Performance evaluations demonstrate Binary Search’s superiority over Linear Search in large, sorted datasets, with the caveat of needing prior sorting.

Input Validation and User Interaction

Input validation ensures the search name is not empty and does not exceed 15 characters. If invalid, the application prompts with an appropriate message box. During searches, users input names through a dialog box, enhancing usability and preventing invalid inputs. The application displays results or not-found messages in the display area.

Performance Evaluation and Analysis

The application is tested with large datasets to compare sorting and searching algorithms. Results show that Merge Sort outperforms Bubble Sort significantly in terms of execution time, especially with increasing data volume. Similarly, Binary Search exhibits faster performance over Linear Search in large datasets once sorting is complete. These findings align with theoretical time complexities. A succinct report summarizes these results, emphasizing the importance of choosing efficient algorithms for scalable applications.

Conclusion

The developed Java application effectively demonstrates object-oriented programming, GUI development, and algorithm implementation. It highlights differences in algorithm efficiency through empirical testing. Such applications are vital in real-world scenarios requiring data management, user interaction, and performance optimization.

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