A/B testing: This technique allows developers to test different feature variations or design variations to determine which one performs better.
A/B testing: A type of testing involves comparing two or more versions of a website or application to determine which one performs better.
Acceptance test-driven development (ATDD): A software development practice where acceptance tests are written before the code is developed to ensure that the system meets the needs and expectations of the end user.
Acceptance testing: A type of testing that evaluates if a system meets the requirements and expectations of the end-user or client.
Acceptance testing: A type of testing that focuses on verifying that a system meets the requirements of its users and stakeholders.
Accessibility testing: A type of testing that focuses on verifying that a system is usable by people with disabilities.
Actor Model: A programming model in which objects are encapsulated as actors that can send and receive messages to each other.
Agile development: A methodology for software development that emphasizes flexibility, collaboration, and rapid iteration.
Agile testing: A software testing practice that incorporates testing into the agile development process, focusing on rapid iteration, continuous feedback, and collaboration.
Agile testing: A type of testing that incorporates testing into the agile development process, focusing on rapid iteration, continuous feedback, and collaboration.
Algorithm: A set of instructions used to perform a specific task or solve a specific problem.
Alpha testing: A type of testing that focuses on evaluating a system in a simulated or controlled environment, usually done by internal employees or developers.
API (Application Programming Interface): A set of protocols, routines, and tools for building software and applications.
API Gateway: A service that acts as an intermediary between an application and a set of microservices.
Argument: A value passed to a function or procedure when it is called.
Array: A collection of data elements that are stored in contiguous memory locations and can be accessed using an index.
Assembly Language: A low-level programming language used to program a computer’s microprocessor. It is a symbolic representation of the machine code instructions that the processor can understand.
Assembly: The process of combining individual parts or components to create a larger, functional system.
Asynchronous Programming: A programming paradigm that allows multiple tasks to be executed in a non-blocking manner, without waiting for other tasks to complete.
Behavior-Driven Development (BDD): A software development practice that combines TDD with natural language to describe the desired behavior of the system, making it more accessible to non-technical stakeholders.
Behaviour-driven development (BDD): A methodology for software development that emphasizes collaboration and communication between developers, stakeholders, and customers.
Beta testing: A type of testing that focuses on evaluating a system in a real-world environment, usually done by external users or customers.
Binary Operation: An operation that takes two operands and produces a single result.
Binary Tree: A tree data structure in which each node has at most two children.
Binary: A number system that uses only two digits, 0 and 1. It is the language that computers use to communicate with each other and with the devices they control.
Black box testing: A type of testing that focuses on evaluating the functionality of a system without looking at its internal structure.
Blue-green deployment: A technique that allows developers to deploy new code changes by running it alongside the old version and switching traffic to the new version once it is stable.
Breakpoint: A point in the code where execution is paused so that the programmer can examine the state of the program.
Bullet Point List All Instruction Terminology and Related Definitions.
Bytecode: A low-level code that is executed by a virtual machine. It is usually a compact representation of the instructions that a programming language compiler generates.
Call Stack: A data structure that stores the sequence of function calls made during the execution of a program.
Canary deployment: A technique that allows developers to test new code changes in a small subset of users before rolling it out to the entire user base.
Category theory: A branch of mathematics that studies the structure and properties of mathematical objects and their relationships.
Class: A blueprint for an object in object-oriented programming.
Clean Code: A term used to describe code that is easy to read, understand, and maintain. It follows some good practices like proper indentation, meaningful variable names, consistent formatting, and clear organization.
Closure: A function object that has access to variables in its lexical scope, even when the function is invoked outside of that scope.
Code coverage: A metric that measures how much of the codebase is executed during testing.
Code Refactoring: The process of improving the design and structure of existing code without changing its behavior.
Code review: A process in which other developers review code before it is committed to the codebase to catch bugs, improve code quality, and promote knowledge sharing.
Code Smell: A symptom of a problem in the code, such as poor readability, maintainability, or performance.
Codebase: The collection of all files and code that make up a software application.
Combinator: A function that combines other functions to create a new function or perform a computation.
Compatibility testing: A type of testing that focuses on verifying that a system is compatible with different devices, browsers, platforms, and operating systems
Compatibility testing: A type of testing that focuses on verifying that a system is compatible with different devices, browsers, platforms, and operating systems.
Compiler: A program that converts source code written in a high-level programming language into machine code that a computer can execute.
Compliance testing: A type of testing that focuses on verifying that a system adheres to industry regulations and standards.
Component testing: A type of testing that focuses on verifying the functionality of individual components or modules of a system.
Computer Language Terminology Defined
Concurrency: The ability of a program to execute multiple tasks simultaneously.
Conditional Statement: A statement that determines whether certain code will be executed based on the outcome of a logical or mathematical expression.
Configuration testing: A type of testing that focuses on verifying that a system is compatible with different hardware and software configurations.
Constant: A value that cannot be modified during the execution of a program.
Containerization: A technique that packages an application and its dependencies into a single container that can be run on any platform.
Continuation: A function that represents the future execution of a program.
Continuous delivery: A software development practice where code changes are continuously delivered and deployed to production, allowing for faster delivery of new features and functionality.
Continuous deployment (CD): A practice that involves automatically deploying code changes to a production environment as soon as they pass testing and quality checks.
Continuous integration (CI): A practice that involves automatically building, testing, and deploying code changes to ensure that they are stable and ready for release.
Continuous integration: A software development practice where code changes are continuously integrated and tested, allowing for faster detection and resolution of issues.
Continuous testing: A practice that automatically runs tests on code changes to ensure they are stable and ready for release.
Continuous testing: A software development practice where testing is performed throughout the development lifecycle, with a focus on automating testing and continuously integrating and delivering new code changes.
Continuous testing: A type of testing that focuses on evaluating a system throughout its development lifecycle, incorporating automated testing, and continuous integration and delivery.
Control Flow: The order in which statements are executed in a program.
Coroutine: A function that can be paused and resumed, allowing multiple tasks to be executed concurrently.
Cross-browser testing: A type of testing that focuses on verifying that a website or application works correctly on different browsers and browser versions.
Cross-platform testing: A type of testing that focuses on verifying that a website or application works correctly on different platforms and devices.
Currying: The technique of converting a function that takes multiple arguments into a function that takes a single argument and returns another function.
Data Structure: A way of organizing and storing data in a computer program.
Data Types: The classification of data based on the type of value it can hold, such as integers, floating-point numbers, and strings.
Deadlock: A situation where two or more processes are blocked forever, waiting for each other to release a resource.
Debugging: The process of finding and fixing errors in a program’s code.
Debugging: The process of identifying and resolving errors in a program.
Decorator: A design pattern that allows behavior to be added to an individual object, either statically or dynamically, without affecting the behavior of other objects from the same class.
Defect tracking: The process of identifying, reporting, and tracking defects during testing.
Defect: An error, bug, or issue found during testing that needs to be fixed or resolved.
Dependency Injection: A design pattern that allows objects to receive their dependencies from an external source rather than creating them internally.
Dependency injection: A technique where a component specifies its dependencies, which are then provided by an external entity.
Dependency: A relationship between two pieces of code where one component relies on the other to function correctly.
Design pattern: A general reusable solution to a commonly occurring problem within a given context.
DevOps: A set of practices that aims to automate the development, testing, and deployment of software.
Distributed Systems: A system that consists of multiple components that run on different machines and communicate over a network.
DLL (Dynamic Link Library): A library that contains code and data that multiple programs can use.
DRY (Don’t Repeat Yourself): A principle that aims to reduce code duplication and increase maintainability by creating reusable components and abstractions.
DRY: A principle that encourages developers to avoid duplication of code.
Edge Computing: A type of computing that allows data processing to occur closer to the source of the data, reducing latency and bandwidth requirements.
End-to-end testing: A type of testing that focuses on evaluating a system from start to finish, simulating the behavior of a real user.
End-to-end testing: A type of testing that verifies that a system behaves correctly from start to finish, simulating the behavior of a real user.
Endurance testing: A type of testing that focuses on measuring the performance of a system over an extended period of time.
Ethical hacking: A type of testing that focuses on identifying and exploiting vulnerabilities in a system to improve its security.
Event-Driven Programming: A programming paradigm in which the flow of the program is determined by events such as user input, network activity, or timers.
Event Loop: A mechanism that waits for and dispatches events or messages in an application.
Event: An action or occurrence that a program can handle.
Event-driven architecture: A design pattern that organizes the system around the flow of events and messages.
Exception: An abnormal event that occurs during the execution of a program, such as a divide-by-zero error or an out-of-bounds array access.
Exploratory testing: A software testing practice where the tester actively controls the design of the tests as those tests are performed and uses information gained while testing to design new and better tests.
Exploratory testing: A type of testing that focuses on evaluating a system in an unstructured way, where the tester can explore and discover potential issues.
Exploratory Testing: A type of testing where the tester actively controls the design of the tests as those tests are performed and uses information gained while testing to design new and better tests.
Feature flag: A technique that allows developers to enable or disable new features or changes to the codebase without deploying new code.
Flowchart: A diagram that represents the flow of control in a program.
Function Composition: The process of combining multiple functions to create a new function.
Function Currying: The process of transforming a function that takes multiple arguments into a function that takes a single argument and returns another function.
Function: A block of code that performs a specific task and can be called by other parts of the program.
Functional programming: A programming paradigm that emphasizes immutability, pure functions, and the use of higher-order functions to express computations.
Functional programming: A programming paradigm that emphasizes on immutability and pure functions, it also allows for easy composition and testing.
Functional Reactive Programming (FRP): A programming paradigm that uses reactive streams of data to model the state and behavior of a program.
Functional testing: A type of testing that focuses on verifying that a system performs its intended functions correctly.
Future: An object that represents a value that will be available at some point in the future.
Fuzz testing: A type of testing that focuses on feeding a system with random or unexpected input in order to identify errors or crashes.
Gamma testing: A type of testing that focuses on evaluating a system in the final stages of development, usually done by a combination of internal and external testers.
Garbage Collection: The process of automatically detecting and freeing memory that is no longer being used by a program.
Generators: A special type of function that can be paused and resumed, allowing multiple tasks to be executed concurrently.
Grey box testing: A type of testing that combines black box and white box testing, where the tester has some knowledge of the internal structure of a system.
GUI (Graphical User Interface): A type of user interface that allows users to interact with a program using graphical elements such as buttons, menus, and icons.
Hash Table: A data structure that uses a hash function to map keys to values.
Hashmap: A data structure that stores key-value pairs and allows for fast lookups, insertions, and deletions.
Heap: A region of memory used for dynamic memory allocation.
Higher-order component: A component that takes one or more components as an argument and returns a new component.
Higher-Order Function: A function that takes one or more functions as arguments and/or returns a function as a result.
High-level Language: A programming language that is closer to human language and provides more abstraction from the underlying hardware.
Immutable: A property of an object or data structure that cannot be modified after it is created.
Inheritance: The ability of a class to inherit properties and methods from a parent class.
Installation testing: A type of testing that focuses on verifying that a system can be installed and configured correctly.
Instruction Pointer: A register that holds the address of the instruction currently being executed by the processor.
Integration testing: A type of testing that focuses on evaluating the interactions and data flow between different components or modules of a system.
Integration testing: A type of testing that focuses on verifying that different system components work together as expected.
Internationalization testing: A type of testing that focuses on verifying that a system can be used in different languages and regions.
Interpreter: A program that reads and executes code, line by line, without the need for a compiler.
Interprocess Communication (IPC): The mechanism that allows different processes to exchange information and coordinate their actions.
Inversion of Control: A principle that the flow of control in a program is inverted, where objects do not call each other, but instead, they are called by a higher-level mechanism.
Iteration: The process of repeating a block of code multiple times.
Key: A value used to identify and retrieve an element in a data structure.
KISS (Keep It Simple, Stupid): This principle encourages simple and straightforward solutions to problems.
Lambda Function: A small anonymous function that can be used as an argument to other functions.
Lazy Evaluation: A technique that delays the evaluation of an expression until its value is needed.
Library: A collection of pre-written code that can be used to perform common tasks in a program.
Linked List: A data structure that consists of a sequence of elements, each containing a reference to the next element.
Load Balancer: A service that distributes incoming network traffic across multiple servers.
Load testing: A type of testing that focuses on measuring the performance of a system under normal or expected loads.
Localization testing: A type of testing that focuses on verifying that a system is properly adapted to a specific language and culture.
Machine Code: The set of instructions that a computer’s microprocessor can execute directly.
Macro: A set of instructions that can be executed with a single command.
Memoization: A technique that caches the results of function calls to avoid redundant computation.
Memory Address: A unique identifier used to locate a specific memory location.
Memory barrier: A mechanism that enforces an ordering of memory accesses, it guarantees that a set of memory accesses are completed before another set of memory accesses begin.
Memory Leak: A condition where a program continues to allocate memory but never releases it, causing the program to slow down or crash.
Memory Management: The process of allocating, deallocating, and managing memory in a program.
Metaprogramming: The practice of writing code that manipulates other code at runtime.
Method: A function that is associated with an object and can be called on that object.
Microfrontend: A technique that allows multiple teams to develop and deploy small, independent frontend applications that can be composed together to create a larger application.
Microservices: A software architecture that structures an application as a collection of small, independent services that communicate over a network.
Middleware: A layer of software that sits between an application and the underlying system and provides additional functionality.
Mobile testing: A type of testing that focuses on verifying the functionality, usability, and performance of mobile applications and websites on different devices, platforms, and screen sizes.
Monad: A design pattern that allows for the encapsulation of computations that may include side effects, such as I/O operations or exception handling.
Monoid: A mathematical structure that consists of a set of elements and an operation that combines them.
Multivariate testing: A type of testing that involves testing multiple variations of a website or application simultaneously to determine which combination of elements performs best.
Mutex (Mutual Exclusion): A synchronization object that allows multiple threads to share the same resource, but not simultaneously.
Namespace: A container that holds a set of identifiers, such as variables and functions, to avoid naming conflicts.
Non-Blocking: A design pattern that ensures that a function or method does not block the execution of the program while waiting for a result.
Non-functional testing: A type of testing that focuses on verifying that a system meets non-functional requirements such as performance, security, usability, and scalability.
Object Code: The code that is generated by a compiler after it has translated the source code into machine code.
Object Oriented Programming (OOP): A programming paradigm that organizes code into objects that can interact with each other.
Object Pool: A container that holds a set of objects that can be reused to avoid creating new objects.
Object: An instance of a class in object-oriented programming.
Object-oriented programming (OOP): A programming paradigm that organizes code into objects, which have properties and methods, and can interact with other objects.
Observer pattern: A design pattern that allows objects to be notified of changes in other objects.
Opcode: A short instruction that tells the microprocessor what operation to perform.
ORM (Object-relational mapping): A technique that allows developers to interact with a relational database using an object-oriented programming model.
Overflow: A condition that occurs when a calculation produces a result that is too large to be stored in the available memory.
Pair programming: A technique in which two developers work together on the same codebase, with one typing and the other reviewing and providing feedback.
Parallelism: The ability of a program to execute multiple tasks simultaneously using multiple processors or cores.
Partial application: A technique that allows a function to be called with some of its arguments already filled in.
Penetration testing: A type of testing that focuses on simulating an attack on a system in order to identify vulnerabilities.
Performance testing: A type of testing that focuses on measuring the performance and scalability of a system under different loads and conditions.
Please continue with Instructions: Database Instructional.
Pointer: A variable that holds the memory address of another variable.
Polyglot Persistence: The use of multiple types of data storage systems within a single application to support specific use cases.
Polymorphism: The ability of a function or object to work with multiple types of data.
Portability: The ability of a program to run on different platforms or devices without modification.
Predicate: A function that returns a Boolean value, indicating whether a given input satisfies a particular condition.
Profiling: The process of measuring the performance of a program and identifying bottlenecks.
Progressive Web Application (PWA): A web application that can be installed on a user’s device and work offline.
Promise: An object that represents the eventual completion of an asynchronous operation and its resulting value.
Pure Function: A function with no side effects and returns the same output for the same input.
Queue: A data structure that stores data in a first-in, first-out (FIFO) order.
Recovery testing: A type of testing that focuses on verifying that a system can recover from failures or errors.
Recursion: A technique in which a function calls itself to solve a problem.
Recursive Function: A function that calls itself to perform a task.
Reentrancy: The ability of a function or procedure to be called multiple times without interfering with its previous execution.
Refactoring: The process of restructuring and reorganizing existing code to improve its design and maintainability.
Reflection: The ability of a program to examine and modify its own structure and behavior at runtime.
Register: A small amount of memory built into a processor that can be quickly accessed to store or retrieve data.
Regression testing: A type of testing that verifies that changes or updates to a system have not introduced new bugs or errors.
Regression testing: A type of testing that focuses on verifying that changes to a system do not introduce new bugs or break existing functionality.
Reliability testing: A type of testing that focuses on measuring the reliability of a system over time.
Render Prop: A technique that allows a component to share its state or behavior with other components.
Resilience testing: A type of testing that focuses on verifying that a system can withstand failures or errors without losing data or functionality.
Resource pooling: A technique that allows a program to reuse resources, such as database connections, to improve performance and scalability.
Responsive testing: A testing method that verifies that a website or application adapts to different screen sizes and resolutions.
Responsive Web Design: A design approach that aims to make web pages look good on any screen size.
Reverse Engineering: The process of analyzing an existing system to understand its design and implementation.
Rollback: The process of undoing a previous change to the codebase.
Ron Legarski Instructional Database: Computer and Human Language Coherence.
Root cause analysis: The process of identifying the underlying cause of a defect or issue to prevent it from occurring again in the future.
Root cause analysis: The process of identifying the underlying cause of a problem or error to prevent it from happening again in the future.
Sanity testing: A type of testing that focuses on verifying that a system is in a stable state and that new changes have not introduced any critical errors.
Scalability testing: A type of testing that focuses on measuring the performance of a system as the number of users or transactions increases.
Scope: The region of the program where a variable or function can be accessed.
Scrum: An Agile development framework that organizes work into sprints and involves daily stand-up meetings, sprint planning, and retrospective meetings.
Security testing: A type of testing that focuses on identifying and mitigating potential security vulnerabilities in a system.
Semaphore: A synchronization object that controls access to a shared resource by multiple processes or threads.
Serverless: A type of cloud computing that allows developers to run code without having to provision or manage servers.
Service-oriented architecture (SOA): A software architecture that structures an application as a collection of services communicating over a network.
Simulation testing: A type of testing that focuses on simulating real-world scenarios to test the performance and functionality of a system.
Single Page Application (SPA): A web application that loads a single HTML page and dynamically updates the content as the user interacts with the app.
Singleton: A design pattern that ensures that a class has only one instance and provides a global point of access to that instance.
Smoke testing: A type of testing that focuses on verifying that the most essential functions of a system are working correctly.
Soak testing: A type of testing that focuses on measuring the performance of a system over a long period of time.
SOLID: A set of design principles for creating maintainable and scalable software. The SOLID principles are the Single Responsibility Principle, Open-Closed Principle, Liskov Substitution Principle, Interface Segregation Principle, and Dependency Inversion Principle.
Source Code: The code that a programmer writes in a high-level programming language.
Spike testing: A type of testing that focuses on measuring the performance of a system when sudden, drastic changes in load occur.
Stack: A data structure that stores data in a last-in, first-out (LIFO) order.
Stateful: A design pattern that maintains the state of an object or component.
Stateless: A design pattern that does not maintain the state of an object or component.
Stream: A sequence of data that can be processed in a non-blocking, sequential manner.
Stress testing: A type of testing that focuses on identifying the breaking point of a system by subjecting it to extreme loads or conditions.
Struct: A composite data type that can hold multiple variables of different types.
Synchronization: The mechanism that allows multiple threads or processes to coordinate their access to shared resources.
Syntax Error: An error in the structure of a program’s source code that prevents it from being compiled or executed.
Syntax: The set of rules defining a programming language’s structure.
System testing: A type of testing that focuses on evaluating a system as a whole and its interactions with external systems.
Tail call optimization: A technique that eliminates the need for a new stack frame when a function calls another function as its last action.
Tail Call: A function call that is the last action performed by a function before it returns.
Task: An object that represents a unit of work that can be executed concurrently with other tasks.
Template engine: A tool that allows developers to separate the presentation logic of a program from its business logic.
Template: A blueprint for a function or class that can be reused with different data types.
Test Automation Framework: A set of guidelines, tools, and best practices for automating software testing.
Test automation framework: A set of tools, libraries, and best practices used to automate the execution of tests.
Test Automation Strategy: A plan for how and when to use test automation in a software development project.
Test automation: A type of testing that focuses on automating the execution of tests to increase efficiency and reduce human error.
Test Automation: The process of writing scripts or programs to test the functionality of the software application automatically.
Test Case: A set of inputs, actions, or events and the expected outcomes used to evaluate the functional correctness of a system or component.
Test cases: A set of inputs, actions, and expected outcomes used to evaluate a system’s functionality and behavior.
Test closure: The process of documenting and reporting testing results, including any defects found and how they were resolved, and formally closing the project’s testing phase.
Test Coverage: The percentage of code that is executed by the test suite.
Test coverage: The percentage of the system that has been tested and the level of testing that has been performed.
Test Data Management: The process of managing the data that is used in tests, such as creating, updating, and maintaining test data.
Test data: The input used to execute tests and evaluate the system’s output.
Test Documentation: The documents and records that are used to plan, execute, and report on testing activities, such as test plans, test cases, test scripts, and test results.
Test Doubles: A term used to describe an object used as a substitute for a real object in a test.
Test Environment: The hardware and software setup that is used to run tests, including the operating system, hardware, and any dependencies.
Test environment: The hardware and software setup used to execute tests and evaluate a system.
Test Execution: The process of running tests and collecting the results.
Test Framework: A set of tools and libraries that provide a way to write and run tests.
Test Harness: A set of tools and scripts that are used to run automated tests.
Test Maintenance: The process of updating and maintaining existing tests, such as updating test data and test scripts, to keep them in sync with the application under test.
Test Management Tool: A software tool that is used to manage the testing process, such as creating, tracking, and reporting on test cases and test results.
Test management tool: A software tool used to organize, plan, and coordinate testing activities.
Test management: A type of testing that focuses on organizing, planning, and coordinating testing activities.
Test Maturity Model: A framework that helps organizations to evaluate and improve their testing processes, by identifying the key practices and capabilities that are needed at different levels of testing maturity.
Test metrics: Data and statistics collected during testing are used to measure the effectiveness and efficiency of the testing process.
Test Metrics: Measures of the quality and effectiveness of testing, such as test coverage, test execution time, and the number of defects found.
Test Mocking: A technique that allows tests to replace a real object with a test double to isolate the behavior of the object being tested.
Test Optimization: The process of identifying and eliminating unnecessary or redundant tests, in order to improve the efficiency and effectiveness of testing.
Test Plan: A document that describes the scope, approach, resources, and schedule of testing activities.
Test plan: A document that outlines the scope, approach, resources, and schedule for testing a system.
Test Pyramid: A concept that suggests that a majority of the tests in a project should be unit tests, a smaller number of tests should be integration tests and even fewer should be end-to-end tests.
Test results: The outcomes of testing, including any defects or issues that were discovered and how they were resolved.
Test script: A set of instructions used to automate the execution of tests.
Test Smell: A symptom of a problem in the test code, such as poor readability, maintainability, or coverage.
Test suite: A collection of test cases and test scripts used to evaluate a system’s functionality and behavior.
Test Suite: A collection of test cases that are organized to test a specific behavior or feature of a system.
Test Virtualization: A technique that allows tests to replace real external dependencies, such as a database or a web service, with a virtualized version.
Test-Driven Design (TDD): A software development practice where the test cases are written before the design, the design is then implemented to pass the test and then the design is refactored to remove any duplication, making sure that the test cases still pass.
Test-driven development (TDD): A methodology for software development that involves writing tests for new code before writing the code itself, in order to ensure that it is testable and behaves as expected.
Test-Driven Development (TDD): A practice that involves writing tests for new code before writing the code itself to ensure that it is testable and behaves as expected.
Test-Driven Development (TDD): A software development practice where the test cases are written before the code, the code is then implemented to pass the test and then the code is refactored to remove any duplication, making sure that the test cases still pass.
Test-driven development: A type of testing that focuses on writing tests before developing the system, ensuring that the system meets the requirements and passes the tests.
Test-First Development: A software development practice where the test cases are written before the code, the code is then implemented to pass the test and then the code is refactored to remove any duplication, making sure that the test cases still pass.
Thread: A separate flow of execution within a program.
Tracing: The process of recording the flow of execution of a program to help identify bugs or performance issues.
Transducer: A function that transforms a data stream by applying a series of operations to its elements.
Tuple: An ordered, immutable collection of elements with different types.
Unit of Work: A design pattern that keeps track of all the changes made to the objects in a system and allows them to be committed or rolled back as a single unit.
Unit Test: A test that verifies the behavior of a small unit of code, such as a function or a method.
Unit testing: A type of testing that focuses on evaluating individual units or components of a system.
Unit testing: A type of testing that focuses on testing individual units or components of a system in isolation.
Usability testing: A type of testing that focuses on evaluating how easy it is for users to complete tasks with a system.
User acceptance testing: A type of testing that focuses on evaluating a system based on the needs and expectations of the end-user.
User experience testing: A type of testing that focuses on evaluating how well a system meets the needs and expectations of its users.
Variable Scope: The region of the program where a variable can be accessed.
Variable: A named storage location in memory that can hold a value of a specific data type.
Virtual DOM: A representation of the actual DOM, used to optimize the rendering of a user interface by minimizing the number of updates to the actual DOM.
Virtual DOM: A technique used by some JavaScript libraries and frameworks to optimize the rendering of a user interface by keeping a virtual representation of the actual DOM.
Virtual Function: A function that can be overridden by a subclass to provide a different implementation.
Virtual Machine: An emulator that simulates the behavior of a physical machine, allowing code to be executed on different platforms without modification.
Virtualization: A technique that allows multiple virtual machines to run on a single physical machine.
Volatile: A keyword used to indicate that a variable’s value may change unexpectedly, such as in a multi-threaded environment.
Volume testing: A type of testing that focuses on measuring the performance of a system as the volume of data increases.
Waterfall model: A methodology for software development that emphasizes a linear and sequential approach to the development process.
Weak Reference: A type of reference that does not prevent an object from being garbage collected.
WebAssembly: A binary instruction format for a stack-based virtual machine that can be executed in web browsers.
White box testing: A type of testing that focuses on evaluating the internal structure of a system and the way it handles data.
Wrapper: A layer of code that converts one interface to another.
YAGNI (You Ain’t Gonna Need It): This principle encourages developers not to add features or functionality until needed.
