Cybersecurity and IT decisions often involve technical terminology that can feel unfamiliar to business leaders. While you don’t need to write code or manage infrastructure yourself, understanding foundational technology terms can help you ask better questions, evaluate risk more effectively, and make informed decisions about your organization’s security posture. Whether you're managing a project, working with developers, or evaluating software solutions for your organization, having a clear grasp of common terminology in this field helps you to participate more confidently in technology and security decision-making.
Acceptance Testing: Final verification that software fulfills all business requirements and is ready for deployment
Adaptive Maintenance: Updates applied to software so it continues functioning correctly in changing environments, like new operating systems or hardware
Agile Software Development: A flexible development approach emphasizing incremental improvements, frequent feedback, and fast delivery
Algorithm: A precise set of instructions a computer follows to solve a problem or perform a task
Alpha Testing: Initial testing conducted internally to identify major issues before releasing software to external users
API (Application Programming Interface): A set of rules that allows different software applications to communicate and share functionality
Backend: The server-side part of software that handles logic, data storage, and overall application performance
Beta Testing: Software testing by selected external users to gather feedback before public release
Bottom-Up Design: Building small components first, then combining them into larger, complete systems
Bug: A flaw in software that causes it to behave unexpectedly or incorrectly
Code Refactoring: Improving code structure, readability, or efficiency without changing its behavior
Compiler: Software that translates human-readable code into machine-executable instructions
Continuous Integration (CI): Regularly merging code changes and testing them to detect issues early
Corrective Maintenance: Fixing defects discovered after software has been released
CSS (Cascading Style Sheets): Code that defines the visual style and layout of web pages
Data Abstraction: Presenting only essential data and hiding unnecessary implementation details
Data Modeling: Organizing and defining how data is structured and related
Data Structures: Efficient ways to store and organize data for processing
Debugging: The process of identifying, analyzing, and fixing errors in software
Dependencies: Relationships where one software component relies on another to function
Deployment: Launching software to be used after testing and debugging are complete
End User: The person who ultimately uses the software
Event-Driven Language: A programming language designed to react automatically when a specific action occurs, such as a user clicking a button or data being received from another system
Event-Driven System: Software that responds in real time to actions or changes, such as login attempts, user activity, or system alerts
Executable Code: Code that a computer can run directly
Framework: A reusable set of tools and conventions that streamline software development
Frontend: The part of software that users see and interact with, such as buttons, forms, dashboards, and menus
Full-Stack Developer: A developer skilled in both frontend and backend software development
Functional Programming Language: A programming language that builds software by combining small, reusable functions and avoids changing data once it has been created
General-Purpose Language: A programming language suitable for many types of software development
Git: A system for tracking changes in code and managing collaborative development
Hardware: Physical components of a computer system
High-Level Language: A programming language designed to be readable and understandable by humans
HTML (Hypertext Markup Language): The standard language for creating Web page structure and content
Human-Computer Interface: The ways in which users interact with software and computers
IDE (Integrated Development Environment): Software that provides tools for writing, testing, and debugging code
Independent Test Group: External testers who evaluate software quality objectively
Intermediate Code: Partially compiled code that requires further processing before execution
ISO Standards: International guidelines that ensure quality and consistency in software processes
Iterative Development: A method of developing software through repeated cycles of design, testing, and refinement
JavaScript: A widely used programming language for adding interactivity to Web pages
Kanban: A visual system for managing tasks and workflow to improve efficiency
Linear Search: A simple method for finding an item by checking each element sequentially
Machine Code: Low-level instructions that a computer executes directly
Machine Learning: Techniques that enable computers to learn patterns from data and make decisions
Maintenance: Ongoing updates and fixes to keep software functional and up to date
Markup Language: A system for annotating text to define its structure or formatting, such as HTML or XML
Methodology: A structured approach for planning and executing software development
Metric: A measurement used to assess software performance or quality
Normal Operation: Software functioning as intended under standard conditions
Object: A self-contained unit combining data and behavior in object-oriented programming
Object-Oriented Programming: A programming paradigm organized around objects and their interactions
Open Source: Software with publicly available source code that allows for modification and distribution
Operating System: Software that manages computer hardware and provides services for applications
Performance Testing: Evaluating software speed, responsiveness, and stability under various conditions
Plugin: A modular add-on that extends software functionality
Programmer: A person who writes and maintains software code
Programming Language: A set of rules and syntax for writing software instructions
Project Manager: Someone who oversees planning, scheduling, and execution of software projects
Prototype: An early model of a system used for testing and feedback
Pull Request: A submission to integrate new code into a shared repository
Quality Assurance (QA): Systematic checks to ensure that software meets specified standards
Regression Testing: Verifying that recent changes do not break existing features
Relational Database: A database where data is organized into interrelated tables
Repository: A central storage location for code and related resources
Runtime: The period during which a program is executing
SaaS (Software as a Service): Cloud-based software accessed via the Internet rather than installed locally
Scripting Language: A programming language used for automating tasks or small programs
Scrum: An Agile framework for managing iterative software development
SDLC (Software Development Life Cycle): The full sequence of stages from planning to software retirement
Software: Programs that perform specific tasks or solve problems
Software Engineering: Applying systematic approaches to design, develop, and maintain reliable software
Source Code: Human-readable instructions that define how software works
Syntax: The rules defining the structure and arrangement of code
Testing: The process of checking software behavior’s compliance with requirements
Test Plan: A detailed strategy for executing and evaluating tests
Top-Down Design: Breaking a system into smaller, manageable components for development
Unit Testing: Testing individual components of software to verify that they work correctly
Usability: How easy and efficient software is for users to operate
User Experience (UX): Overall feelings and satisfaction of users while interacting with software
User Interface (UI): Visual and interactive elements through which users engage with software
Version Control: Tracking, managing, and recording changes to software code over time
Waterfall Model: A sequential software development process in which each stage is completed before the next begins
Web App: Software accessed through a Web browser instead of being installed locally
Website: A collection of interconnected Web pages available online
XML (Extensible Markup Language): A flexible format for storing and transporting structured data
YAML: A human-readable data format used for configuration files and data exchange
Z Object Publishing Environment: An open-source system for managing and publishing content online
Additional Resources
- What Is Software Engineering?
- What Does a Software Developer Do?
- General Computing Terms
- What Is SDLC: The Software Development Lifecycle?
- Learn the Fundamentals of Software Engineering
- A Brief Introduction to Version Control
- Managed IT and Security Operations
- Agile Methodology: The Advantages and Disadvantages
- Machine Learning, Explained
- Device Management Services
- The Power of Syntax and Semantics in Software Development
- The 10 Most Popular Programming Languages to Learn
- Programming Languages to Learn for Software Engineering
- 50 Terms Every Software Engineer Should Know

