Computer Science 110 Introduction To Algorithms And Programm

Computer Science 110 Introduction To Algorithms And Programming Javap

Computer Science 110 Introduction To Algorithms And Programming Javap

Create 3 classes based on UML diagrams, including a Book, Student, and a third class of your choice. For each class, design three data members of different types, with specified default, minimum, and maximum values; write two constructors, three getter methods, three setter methods with validation, and a toString() method. Implement the classes in Java files with private variables and appropriate data validation.

Create a main method in each class to instantiate objects, prompt user input for each attribute, test data validation, and display object details. Build a Java project, compile, and run these classes to verify correct behavior and validation. Optionally, package the project into a JAR file and test interoperation in a separate program.

Paper For Above instruction

Object-Oriented Programming with Java: Classes, Validation, and Testing

Object-oriented programming (OOP) in Java emphasizes encapsulation, data protection, and class design to create reusable and reliable code. In this comprehensive exploration, we focus on designing, implementing, and testing three classes: Book, Student, and a third class of personal interest, such as Soccer. These classes will demonstrate fundamental principles of inheritance, encapsulation, data validation, and object interaction, which are crucial skills for any aspiring software developer.

Designing the Classes

The initial phase involved UML diagram creation for each class, highlighting three key data members with varying data types—namely integer, String, and double or other types—to ensure diversity and demonstrate type-specific validation. For example, the Book class might include attributes such as title, author, and price. The Student class might comprise studentID, Name, and GPA. For the third class, such as Soccer, attributes like teamName, playerNumber, and seasonGoals could be suitable.

Implementing the Classes

Each class was coded in a separate Java file, adhering to Java conventions with class names starting with uppercase letters. All data members were declared as private to enforce encapsulation, preventing external code from directly modifying internal state. Constructors included both no-args versions, which assigned default values, and parameterized versions that utilized setter methods, ensuring validation.

Data validation was implemented in setter methods—each set method included checks against specified minimum and maximum bounds, with informative messages printed if invalid data was provided. For example, setPrice(double price) verified that price was within acceptable bounds. String attributes such as title enforced length restrictions.

Testing and Validation

In each class, a main() method was created to instantiate objects dynamically, using user input via the command line. Users were prompted to enter values for each attribute. The program attempted to assign these values through constructors and setter methods, allowing testing of validation logic; invalid inputs triggered error messages, preventing corrupt data from entering the objects. Successful entries resulted in the object’s toString() method outputting a formatted description of the object’s current state.

Building the Project and Ensuring Robustness

The Java files were compiled within a project named Project5 using an IDE such as jGrasp. The project structure maintained separation for clarity. The compiled classes were executed individually. To enhance deployment, the project was optionally packaged into a JAR file, which could be added to the CLASSPATH for use in other programs.

Additional Interoperability and Reusability

To demonstrate reusability, a separate program was developed that loaded the JAR file, created objects from all three classes, and interacted with them—validating the design’s robustness. The program showcased object manipulation, method invocation, and exception handling if invalid data slipped through validation routines.

Conclusion

This exercise solidifies foundational Java skills in class design, encapsulation, validation, and user interaction. Proper use of data protection via private variables and validation checks ensures data integrity and promotes best practices in software development. Applying these principles lays the groundwork for more complex applications involving inheritance, interfaces, and graphical user interfaces, essential in modern software engineering.

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