The FREE Cybersecurity Glossary by Thor Pedersen!

Object code: The compiled version of a program written in a high-level programming language. It serves as an intermediary step in software development, transforming the source code into an executable file that can run on a specific platform. Examples include a .exe file for Windows or a .dmg file for Mac.

Object orientation: A programming paradigm that uses objects to model real-world concepts and processes. It is used in software development to create modular, reusable code and improve the maintainability and extensibility of a system. Examples of object-oriented programming languages include Java and C++.

Object-oriented database: An object-oriented database (OODB) is a database management system that supports the storage and manipulation of data in the form of objects, as utilized in object-oriented programming. OODBs facilitate complex data modeling while ensuring these models benefit from database functionalities, including ACID (Atomicity, Consistency, Isolation, Durability) properties.

Object-Oriented Programming (OOP): A programming paradigm that uses objects to model real-world concepts and processes. It is used in software development to create modular, reusable code and improve the maintainability and extensibility of a system. Examples of object-oriented programming languages include Java and C++.

Object-Oriented System Development: A method of software development where the programming and structuring of code is done using objects, classes, and inheritance. This approach promotes modular design, code reuse, and scalability. It also allows for better representation of real-world entities and relationships, making systems more intuitive and easier to design, develop, test, and maintain.

Object-Relational Database (ORD): An Object-Relational Database (ORD) is a database management system that combines features of object-oriented databases and traditional relational databases to support objects, classes, and inheritance in schemas and query language. ORDs enable complex data types and relationships while maintaining the rigorous data organization and querying power of relational systems.