Create Class Domains In NetBeans And Test Them ✓ Solved

Create class domains in NetBeans and test them

Regis University All Rights Reserved Unauthorized Distribution Inc

Regis University All Rights Reserved Unauthorized Distribution Inc

©Regis University, All Rights Reserved Regis University CC&IS CS310 Data Structures Programming Assignment 1: Create class domains in NetBeans and test them

Sample Paper For Above instruction

Create class domains in NetBeans and test them

Create class domains in NetBeans and test them

This paper presents a comprehensive approach to designing and implementing Java classes for a stock brokerage system. The core classes—the Broker and StockTrade—are constructed to encapsulate broker and trade details, respectively, with validation methods to ensure data integrity. The implementation aligns with the specified assignment requirements, including constructors, accessor and mutator methods, equals(), toString(), and validation functions. Additionally, a main class demonstrates instantiation, comparison, and validation processes, highlighting how these classes facilitate reliable management of broker and stock trade data.

Introduction

The development of a robust, error-checked system for a stock brokerage firm requires careful class design to represent key entities such as brokers and stock trades. Java's object-oriented features provide an ideal mechanism to encapsulate data attributes and behaviors pertaining to these entities. This paper details the creation of Broker and StockTrade classes, focusing on data validation, comparison functionality, and integration in a test harness to simulate real-world operations.

Class Design and Implementation

Broker Class

The Broker class models individual broker entities, encompassing attributes including license number, first name, last name, department number, and commission rate. All data fields are private, conforming to encapsulation principles. The class includes two constructors—one default with no parameters and another parameterized for comprehensive initialization. The class provides getter and setter methods for each attribute, along with an overridden toString() for representation and an equals() method for object comparison based on attribute values.

Data validation methods within the Broker class verify the correctness of license numbers and department numbers. The isValidLicense() method checks if the license string contains exactly three letters followed by five digits, using barcoded loop constructs without regex. The isValidDept() method confirms that the department string is in the format "###-###", with the first three digits being 1, 2, or 3, and overall length being seven characters.

StockTrade Class

The StockTrade class models stock transactions, encapsulating stock symbol, share price, number of shares, broker license number, and taxable status. Similar to the Broker class, it includes default and parameterized constructors, along with getters, setters, toString(), and equals() methods. Validation methods check the stock symbol for uppercase alphabetic characters of length 3 or 4, the share price for being within a valid range (0.00 to 1000.00), and number of shares for being non-negative and not exceeding 100,000. These functions utilize simple conditional checks and loops, as regex is explicitly prohibited.

Testing and Usage

The main class demonstrates creating Broker and StockTrade objects with hardcoded data, validating their attributes, and comparing objects for equality. It then reads input from a CSV file line-by-line, parsing data to create objects accordingly. Validation methods are invoked, and error messages are issued for invalid data, such as incorrect license formats or stock prices outside the permissible range.

Example flows include adding and removing brokers, buying and selling stocks, and checking attribute correctness. These processes collectively verify the integrity of the class design and validation logic. The implementation ensures the system robustly handles erroneous data inputs, providing informative messages and preventing invalid object states.

Conclusion

This system exemplifies effective object-oriented programming practices in Java for managing a stock brokerage's data entities. The classes are designed with strict validation, comprehensive method implementations, and sample usage in testing scenarios. These foundations facilitate future expansion and integration of data structures necessary for more complex brokerage operations, aligning with the project's educational and functional objectives.

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