All things {Software Testing}

A/B Testing

A/B Testing is a method of comparing two versions of a webpage, app, or other digital asset to determine which one performs better. Users are randomly shown version A or B, and statistical analysis determines which version achieves the desired outcome.

Acceptance Testing

Acceptance Testing is a formal testing process conducted to determine whether a system satisfies its acceptance criteria and enables the end user to accept the system. It is the final stage of testing before release.

Accessibility Tester

An Accessibility Tester evaluates software to ensure usability for people with disabilities. They identify and report accessibility barriers, advocating for inclusive design and compliance with standards like WCAG.

Ad Hoc Testing

Ad hoc testing is informal testing done without planning or documentation. The goal is to find defects quickly and randomly, often after formal testing.

AI Bias Testing

AI Bias Testing is the process of evaluating AI models for unfair or discriminatory outcomes towards specific groups based on attributes like race, gender, or age. It aims to ensure fairness and equity in AI-driven decisions.

AI Compliance Testing

AI Compliance Testing is evaluating AI systems against regulations, ethical guidelines, and internal policies. It ensures fairness, transparency, accountability, and adherence to legal requirements like GDPR and industry standards.

AI Explainability Testing

AI Explainability Testing is evaluating AI models to understand and validate their decision-making processes, ensuring transparency, fairness, and trustworthiness.

AI Integration Testing

AI Integration Testing is testing the interaction between AI components and other software systems to ensure seamless data exchange, functionality, and performance.

AI Model Monitoring

AI Model Monitoring is the process of continuously tracking an AI model's performance, data quality, and overall health after deployment to ensure it behaves as expected and maintains accuracy over time.

AI Model Testing

AI Model Testing is the process of evaluating the performance, reliability, and fairness of artificial intelligence and machine learning models before deployment. It ensures models meet desired quality standards and behave as expected in various scenarios.

AI Performance Testing

AI Performance Testing is evaluating the performance of AI-powered systems, focusing on speed, scalability, and resource utilization under various conditions. It ensures AI models and applications meet performance requirements in real-world scenarios.

AI Security Testing

AI Security Testing is the process of evaluating AI systems for vulnerabilities, biases, and potential risks, ensuring their robustness and ethical behavior against adversarial attacks and unintended consequences.

AI Test Impact Analysis

AI Test Impact Analysis is using AI/ML to identify which tests to run after code changes. It prioritizes tests based on the likelihood of failure, saving time and resources.

AI-Powered Test Generation

AI-Powered Test Generation uses artificial intelligence and machine learning to automatically create test cases, test data, and test scripts, improving testing efficiency and coverage.

AI-Powered Testing

AI-Powered Testing leverages artificial intelligence (AI) and machine learning (ML) to automate and enhance software testing processes, improving efficiency, accuracy, and coverage.

Android Accessibility Testing

Android Accessibility Testing ensures apps are usable by everyone, including users with disabilities. It verifies adherence to accessibility guidelines, making apps perceivable, operable, understandable, and robust for all users.

Android Code Coverage

Android Code Coverage is a metric measuring the percentage of application code executed during testing. It helps identify untested areas, ensuring thoroughness and reducing the risk of undetected bugs in Android applications.

Android Continuous Testing

Android Continuous Testing is the practice of automating tests for Android applications and running them frequently throughout the development lifecycle to provide rapid feedback on code changes and ensure app stability and quality.

Android Emulator Testing

Android Emulator Testing is testing an application on a virtual Android device. It simulates real device environments on a computer, allowing developers to test apps on various Android versions and hardware configurations without physical devices.

Android Integration Testing

Android Integration Testing verifies the interaction between different modules or components of an Android application. It ensures that these parts work correctly together as a cohesive system, checking data flow and functionality across integrated units.

Android Network Testing

Android Network Testing verifies an app's behavior under various network conditions. It ensures proper functionality, performance, and security when dealing with different network speeds, connectivity types (Wi-Fi, cellular), and simulated network issues like latency or packet loss.

Android Performance Testing

Android Performance Testing is evaluating an Android app's speed, stability, and resource usage to ensure optimal user experience. It identifies bottlenecks and inefficiencies.

Android Profiler

The Android Profiler is a suite of tools in Android Studio that provides real-time data to analyze an app's CPU, memory, and network usage. It helps identify performance bottlenecks and optimize app performance.

Android Security Testing

Android Security Testing is the process of identifying vulnerabilities in Android applications and the Android OS to protect user data and prevent unauthorized access.

Android Studio Test Lab

Android Studio Test Lab is a cloud-based mobile testing service. It allows developers to test apps on a wide variety of real Android devices and configurations, providing detailed reports and insights.

Android UI Testing

Android UI Testing validates the user interface of Android applications. It ensures that the UI elements function correctly, appear as expected, and provide a seamless user experience across different devices and screen sizes.

Android Unit Testing

Android Unit Testing verifies individual components of an Android app in isolation. It ensures each unit functions correctly before integration, improving code quality and maintainability. Tests are automated and repeatable.

AndroidX Test

AndroidX Test is a suite of libraries for testing Android applications. It provides APIs for UI testing, unit testing, and integration testing, enabling developers to write robust and reliable tests.

API Synthetic Testing

API Synthetic Testing is a testing technique that uses scripts to simulate API calls, validating functionality, performance, and security without relying on the user interface.

API Testing

API Testing validates application programming interfaces (APIs) by sending requests and verifying responses. It focuses on functionality, reliability, performance, and security without the user interface.

Appium

Appium is an open-source tool for automating native, mobile web, and hybrid applications on iOS, Android, and Windows platforms. It drives iOS, Android, and Windows apps using the WebDriver protocol.

Appium Client Libraries

Appium Client Libraries are language-specific libraries that enable developers to write test scripts for Appium. They provide a simplified interface to interact with the Appium server and control mobile devices or emulators.

Appium Desired Capabilities

Appium Desired Capabilities are key-value pairs that tell the Appium server what kind of automation session you want. They specify the platform, device, app, and other settings needed to run your tests.

Appium Desktop

Appium Desktop is an open-source GUI for inspecting app elements, writing basic automation scripts, and running them on a local Appium server. It simplifies mobile app testing by providing a visual interface for interacting with Appium.

Appium Doctor

Appium Doctor is a command-line tool that diagnoses and helps resolve common configuration issues that can prevent Appium from running correctly. It checks for necessary dependencies like Node.js, Android SDK, and Java JDK.

Appium Event Timing

Appium Event Timing captures performance metrics during Appium tests. It tracks the duration of various events, such as element interactions and page loads, providing insights into app responsiveness and identifying performance bottlenecks.

Appium Gestures

Appium Gestures are actions that simulate user interactions on mobile devices, such as taps, swipes, pinches, and long presses. They are essential for automating mobile app testing and ensuring proper functionality across different devices and platforms.

Appium Inspector

Appium Inspector is a GUI tool used to inspect the UI hierarchy of mobile apps. It helps identify UI elements and generate locators for test automation with Appium. It's like 'Inspect Element' for mobile apps.

Appium Plugin System

Appium Plugin System allows extending Appium's functionality by adding custom commands, locators, or modifying server behavior. It enables tailoring Appium to specific needs without altering the core code.

Appium Server

Appium Server is a Node.js HTTP server that acts as a bridge between Appium clients and mobile devices, translating Selenium WebDriver commands into native mobile UI automation instructions for iOS and Android.

Appium Settings

Appium Settings are configurations that modify Appium's behavior during test automation. They control aspects like location services, keyboard input, and other device-specific settings, allowing for more realistic and reliable testing scenarios.

AppleScript Testing

AppleScript Testing is automating tests on macOS applications using AppleScript, Apple's scripting language. It allows simulating user interactions and verifying application behavior.

Assertions

An assertion verifies that a specific condition is true at a particular point in the code. It confirms expected outcomes during testing, halting execution if the condition is false, indicating a failure.

AutoHotkey Testing

AutoHotkey testing involves using AutoHotkey scripts to automate software testing tasks, such as GUI interaction, data input, and validation, to improve efficiency and accuracy.

Behavior-Driven Development

Behavior-Driven Development is a software development process that focuses on defining the behavior of a system in a way that is understandable to both technical and non-technical stakeholders. It uses examples to illustrate the desired behavior.

Beta Testing

Beta Testing is a real-world evaluation of software by a group of representative users before its general release. It aims to uncover bugs, usability issues, and gather feedback for final improvements.

BiDi Accessibility Testing

BiDi Accessibility Testing verifies that software correctly displays and functions with bidirectional (BiDi) text, like Arabic or Hebrew, ensuring usability for right-to-left (RTL) and left-to-right (LTR) languages.

BiDi Authentication

BiDi Authentication verifies bidirectional communication between a browser and a testing tool. It enables real-time interaction, allowing tools to observe and control browser behavior for enhanced test automation and debugging.

BiDi Browser Control

BiDi Browser Control enables automated browser interaction using a standardized protocol, offering fine-grained control over browser behavior for testing and automation. It replaces older protocols like WebDriver for improved performance and features.

BiDi CDP Bridge

A BiDi CDP Bridge facilitates communication between BiDirectional protocols and Chrome DevTools Protocol (CDP), enabling advanced browser automation and testing capabilities. It translates commands and events between these systems.

BiDi Debugging Protocol

The BiDi Debugging Protocol enables two-way communication between a browser and a remote debugging client. It facilitates advanced debugging features like observing mutations, intercepting requests, and manipulating the browsing context, offering more control than traditional protocols.

BiDi Event Handling

BiDi Event Handling ensures correct processing of user interface events in bidirectional (BiDi) text environments (e.g., Arabic, Hebrew), where text direction can be right-to-left or left-to-right, impacting element alignment and event propagation.

BiDi Input Events

BiDi Input Events are user interactions in bidirectional (BiDi) text environments, like Arabic or Hebrew, where text direction can switch between left-to-right (LTR) and right-to-left (RTL). These events require special handling to ensure correct text display and cursor positioning.

BiDi Network Interception

BiDi Network Interception is a technique used in browser automation to observe and modify network traffic, enabling detailed testing of web applications' behavior under various network conditions, such as latency, offline states, or modified responses.

BiDi Performance Metrics

BiDi Performance Metrics are measurements evaluating the performance of bidirectional (BiDi) text rendering and processing in software, focusing on speed and accuracy in displaying and manipulating languages like Arabic and Hebrew.

BiDi Script Evaluation

BiDi Script Evaluation is testing software's ability to correctly display and process bidirectional text, like Arabic or Hebrew, which reads both left-to-right and right-to-left. It ensures proper text rendering, input, and storage.

BiDi Security Context

The BiDi Security Context is a mechanism in web browsers that isolates browsing contexts with different security origins, preventing scripts from one origin from accessing resources or manipulating the DOM of another, thus enhancing security.

BiDi Service Workers

BiDi Service Workers enable bidirectional communication between a web page and a service worker, allowing real-time data exchange and enhanced control over network requests and responses. This facilitates advanced features like server-sent events and custom protocol handling.

BiDi Virtual Authenticator

A BiDi Virtual Authenticator simulates a hardware security key for testing web applications with Web Authentication (WebAuthn). It allows developers to test authentication flows without needing physical security keys, streamlining the development and testing process for passwordless authentication.

BiDi WebSocket

BiDi WebSocket is a communication protocol enabling real-time, bidirectional data exchange between a client and server, crucial for browser automation and testing. It allows sending commands and receiving events asynchronously.

Black Box Testing

Black box testing evaluates software functionality without knowledge of internal code structure or implementation details, focusing solely on inputs and outputs.

Branch Coverage

Branch coverage measures the percentage of code branches (if statements, loops, etc.) executed during testing. It ensures every possible path in the code is tested, improving software reliability.

Browser Context

A browser context is an isolated environment within a browser instance, allowing for concurrent testing sessions without interference. It shares the browser core but has separate cookies, cache, and storage.

Browser Contexts

Browser contexts isolate browsing sessions, each with its own cookies, cache, and local storage. This allows running multiple independent test scenarios in a single browser instance, preventing state pollution between tests and improving test efficiency.

Browser Synthetic Testing

Browser Synthetic Testing is a method using automated scripts to simulate user interactions with a website or application, proactively monitoring performance, availability, and functionality from various locations and browsers.

Bug Report

A bug report is a formal document detailing a software defect. It includes steps to reproduce the bug, expected vs. actual results, severity, and environment details, aiding developers in fixing the issue.

Canary Testing

Canary testing deploys a new software version to a small subset of users in a live environment. This limits the impact of potential bugs and allows for real-world performance evaluation before a full rollout.

CDP Automation

CDP Automation is the use of automated testing techniques to validate the functionality and performance of a Customer Data Platform (CDP), ensuring data accuracy, integration, and segmentation work as expected.

Chaos Engineering

Chaos Engineering is the practice of deliberately injecting failures into a system to identify weaknesses and build resilience. It proactively uncovers vulnerabilities before they cause real-world outages.

Checkpoint

A checkpoint is a point in the execution of a test or process where the current state is saved. This allows for resuming execution from that point later, often used for recovery after failures or for iterative testing.

Chrome DevTools Protocol

The Chrome DevTools Protocol allows tools to inspect, debug, and profile Chromium-based browsers. It enables remote control of browser instances for automated testing, performance analysis, and more.

Cloud Native Testing

Cloud Native Testing validates applications built with cloud-native architectures, focusing on microservices, containers, and dynamic environments. It emphasizes automation, continuous testing, and observability.

Compliance Testing Automation

Compliance Testing Automation is the use of automated tools and scripts to verify that software adheres to specific regulatory standards, industry guidelines, and internal policies. It ensures consistent and efficient compliance checks.

Component Testing

Component testing verifies individual software modules in isolation. It ensures each component functions correctly before integration, focusing on inputs, outputs, and expected behavior.

Condition Coverage

Condition Coverage is a white-box testing technique where each boolean condition within a decision is tested for all possible outcomes (True/False) at least once. It aims to ensure every condition independently affects the decision's outcome.

Container Testing

Container testing validates the functionality and security of applications packaged in containers, ensuring they behave as expected across different environments. It involves testing the container image, its configuration, and its interactions with other services.

Continuous Testing

Continuous Testing is the process of executing automated tests as part of the software delivery pipeline to obtain immediate feedback on the business risks associated with a software release candidate.

Contract Testing

Contract Testing validates that two independent software components (e.g., services) can communicate correctly by verifying that each adheres to a pre-defined agreement (the contract) about their interaction.

Coverage Badges

Coverage Badges are visual indicators embedded in repositories, typically on platforms like GitHub, that display the percentage of code covered by automated tests. They offer a quick snapshot of a project's testing status.

Coverage Filters

Coverage filters are rules used in code coverage analysis to exclude specific code sections from coverage reports, focusing analysis on relevant parts.

Coverage Instrumentation

Coverage Instrumentation is the process of adding code to a program to track which parts of the code are executed during testing. This helps measure test coverage and identify areas not adequately tested.

Coverage Merging

Coverage merging combines coverage data from multiple test runs into a single, unified report. This provides a comprehensive view of code coverage, especially useful when tests are distributed or executed in parallel.

Coverage Reports

Coverage Reports are documents detailing the extent to which source code has been tested, showing which parts were executed during testing and which were not. They help identify gaps in testing efforts.

Coverage Thresholds

Coverage Thresholds are predefined minimum levels of code coverage that must be achieved during testing to ensure sufficient test quality and reduce the risk of undetected defects.

Coverage Trends

Coverage Trends track changes in code coverage metrics over time. They help teams monitor the effectiveness of their testing efforts, identify areas needing more tests, and ensure code changes don't reduce coverage.

Cross-Browser Testing

Cross-Browser Testing validates that a web application functions correctly across different web browsers (Chrome, Firefox, Safari, Edge), operating systems (Windows, macOS, Linux, Android, iOS), and device types (desktop, mobile, tablet), ensuring a consistent user experience.

Cross-Platform Desktop Testing

Cross-Platform Desktop Testing validates desktop applications function correctly across different operating systems (Windows, macOS, Linux) and hardware configurations, ensuring consistent user experience and functionality regardless of the environment.

Cypress

Cypress is a JavaScript-based end-to-end testing framework that runs in the browser, enabling faster, more reliable, and easier debugging for web applications. It provides a unique architecture that allows for real-time test execution and powerful debugging capabilities.

Cypress Cloud

Cypress Cloud is a test automation platform tightly integrated with the Cypress testing framework, providing features like test recording, parallelization, and detailed analytics to improve testing efficiency and reliability.

Cypress Commands

Cypress Commands are built-in functions in Cypress used to interact with elements on a web page, assert states, control the browser, and manage the test flow. They are the core of writing Cypress tests.

Cypress Component Testing

Cypress Component Testing isolates and tests individual UI components, verifying their behavior and appearance in isolation. It offers faster feedback and easier debugging compared to end-to-end tests.

Cypress Fixtures

Cypress Fixtures are external data files used to provide static data for tests, promoting maintainability and reusability. They help avoid hardcoding data directly into tests, making them more readable and easier to update.

Cypress Intercept

Cypress Intercept allows you to monitor and modify network requests and responses within your Cypress tests. It's useful for stubbing API calls, mocking data, and testing edge cases without relying on a live backend.

Cypress Studio

Cypress Studio is a visual testing tool within Cypress that generates tests by recording interactions within the application. It simplifies test creation by translating UI actions into Cypress commands, streamlining the automation process for developers and testers.

Cypress Test Runner

Cypress Test Runner is a JavaScript-based end-to-end testing framework that runs directly in the browser, enabling faster, more reliable, and easier debugging for web applications. It provides a unique architecture for testing modern web apps.

DAST SAST Integration

DAST SAST Integration combines Dynamic (DAST) and Static (SAST) Application Security Testing to provide comprehensive security coverage. It correlates findings from both approaches for improved vulnerability detection and remediation prioritization.

Data-Driven Testing

Data-Driven Testing is a testing method where test input and expected output values are read from a data source (e.g., CSV, Excel, database) instead of being hard-coded in the test script. This allows running the same test logic with multiple data sets.

Desired Capabilities

Desired Capabilities are key-value pairs configuring browser or mobile device settings for automated tests. They specify the testing environment, like browser type, version, OS, and device specifics, ensuring tests run as intended.

Desktop Accessibility Testing

Desktop Accessibility Testing validates that desktop applications are usable by people with disabilities. It ensures compliance with accessibility standards, allowing users with visual, auditory, motor, or cognitive impairments to effectively interact with the software.

Desktop App Testing

Desktop App Testing verifies the functionality, performance, security, and usability of applications designed to run on desktop operating systems like Windows, macOS, and Linux. It ensures the app works as expected across different configurations.

Desktop GUI Testing

Desktop GUI Testing validates the functionality & usability of an application's graphical user interface on a desktop environment. It ensures elements like buttons, menus, & windows work correctly across different OS & hardware.

Desktop Installation Testing

Desktop Installation Testing verifies that software installs and uninstalls correctly on a desktop environment. It checks file placement, registry entries, shortcuts, dependencies, and overall system stability after installation and removal.

Desktop Integration Testing

Desktop Integration Testing verifies that desktop applications function correctly with other applications and the operating system. It ensures seamless data exchange, resource sharing, and overall stability within the desktop environment.

Desktop Performance Testing

Desktop Performance Testing evaluates a desktop application's speed, stability, and responsiveness under various load conditions. It identifies bottlenecks and ensures optimal performance on local machines.

Desktop Security Testing

Desktop Security Testing is the process of evaluating a desktop application's vulnerabilities and security loopholes to ensure data confidentiality, integrity, and availability. It identifies potential risks like malware, unauthorized access, and data breaches.

Device Farm

A device farm is a service providing access to real mobile devices for testing apps. It allows remote testing on various OS versions and hardware configurations, ensuring compatibility and performance across different devices.

DevOps Test Engineer

A DevOps Test Engineer automates and integrates testing throughout the software development lifecycle, collaborating with development and operations teams to ensure continuous delivery and quality. They focus on building test automation frameworks, CI/CD pipeline integration, and performance monitor

Distributed Testing

Distributed Testing is a testing approach where test execution is distributed across multiple machines or environments, often geographically dispersed, to simulate real-world user load and network conditions.

Infrastructure as Code Testing

Infrastructure as Code Testing validates that infrastructure provisioning and configuration, managed as code, functions correctly, securely, and meets desired specifications before deployment.

Instruments Tool

Instruments Tool is a dynamic analysis and performance-monitoring tool bundled with Xcode, used for profiling macOS, iOS, watchOS, and tvOS apps. It helps identify performance bottlenecks, memory leaks, and other issues.

Integration Testing

Integration Testing verifies the interaction between software modules. It confirms that components work together correctly, ensuring data flows seamlessly and functionalities align as designed after individual unit testing.

iOS Accessibility Testing

iOS Accessibility Testing ensures apps are usable by everyone, including users with disabilities. It verifies features like VoiceOver, Switch Control, and Dynamic Type function correctly, providing an inclusive user experience.

iOS Code Coverage

Code coverage for iOS measures the extent to which the source code of an iOS application has been tested. It identifies areas of code not exercised by tests, highlighting potential gaps in testing efforts.

iOS Continuous Testing

iOS Continuous Testing is the practice of automating tests on iOS applications throughout the development lifecycle, enabling rapid feedback and faster releases. It involves integrating automated testing into the CI/CD pipeline to ensure code changes don't introduce regressions.

iOS Integration Testing

iOS Integration Testing verifies the interaction between different units or components of an iOS application. It ensures that these components work together correctly as a group, validating data flow and functionality across modules.

iOS Network Testing

iOS Network Testing verifies an app's network interactions on iOS devices. It ensures proper data transfer, error handling, and performance under various network conditions like Wi-Fi, cellular, and simulated latency. It validates API calls, data serialization, and security protocols.

iOS Performance Testing

iOS Performance Testing evaluates an iOS app's speed, stability, and responsiveness under various conditions to ensure optimal user experience. It identifies bottlenecks and areas for improvement in resource utilization.

iOS Security Testing

iOS Security Testing verifies the protection of data and functionality on iOS devices. It identifies vulnerabilities like data leaks, insecure storage, and unauthorized access, ensuring app confidentiality, integrity, and availability.

iOS Simulator Testing

iOS Simulator Testing is testing iOS apps on a simulated iOS device on a computer, without needing a physical device. It allows for faster testing cycles and debugging on various iOS versions and device types.

iOS UI Testing

iOS UI Testing validates an app's user interface by simulating user interactions. It ensures UI elements function correctly and the app responds as expected across different devices and iOS versions. It automates testing of visual aspects and user flows.

iOS Unit Testing

Unit testing for iOS involves testing individual components (units) of an iOS app in isolation to verify their correctness. It focuses on functions, methods, or classes, ensuring each performs as expected before integration.

Istanbul Code Coverage

Istanbul Code Coverage is a tool that calculates code coverage metrics for JavaScript tests. It analyzes which parts of the code were executed during testing, providing insights into the effectiveness of the test suite.

JaCoCo Coverage

JaCoCo Coverage is a free open-source code coverage library for Java. It tracks the percentage of code executed during testing, providing metrics like line, branch, and instruction coverage to assess test effectiveness and identify untested areas.

Jest

Jest is a JavaScript testing framework created by Facebook, known for its speed, simplicity, and built-in features like mocking and coverage reports. It's commonly used for testing React applications, but also supports other JavaScript projects.

Jest Coverage Reports

Jest Coverage Reports are generated during Jest testing, detailing the percentage of code covered by tests. These reports help identify untested areas, ensuring code reliability and maintainability.

Jest Matchers

Jest Matchers are functions used in Jest tests to make assertions about expected outcomes. They compare received values against expected values, returning pass or fail results.

Jest Mock Functions

Jest Mock Functions are functions that simulate the behavior of real functions, allowing you to isolate and test specific units of code by controlling their dependencies and observing their interactions.

Jest Snapshot Testing

Jest Snapshot Testing is a method that captures the rendered output of a component and saves it as a baseline. Subsequent tests compare the current output against this snapshot, flagging any discrepancies as failures.

Jest Timer Mocks

Jest Timer Mocks allow developers to control the passage of time within JavaScript tests. This is crucial for testing asynchronous code like setTimeout, setInterval, and promises that rely on delays, providing deterministic and predictable test results.

Jest Watch Mode

Jest Watch Mode is a feature that automatically reruns tests whenever it detects changes in your project's files. This provides immediate feedback during development, improving efficiency and code quality.

LLM Testing

LLM Testing is evaluating Large Language Models (LLMs) to ensure quality, accuracy, safety, and reliability. It involves prompt engineering, response analysis, and bias detection to validate LLM performance across various tasks.

Load Distribution

Load Distribution is the process of evenly allocating workload across multiple servers or resources to prevent overload and ensure optimal performance and availability of a system.

Load Test Analysis

Load Test Analysis is the process of examining the data collected during load testing to identify performance bottlenecks, understand system behavior under stress, and ensure it meets performance requirements.

Load Test Assertions

Load Test Assertions are validations performed during load testing to verify that the system under test behaves as expected under load, ensuring performance, stability, and correctness.

Load Test Correlation

Load Test Correlation is the process of identifying and replacing dynamic values in recorded scripts with parameters to simulate real user behavior during load tests. This ensures accurate and realistic test results.

Load Test Data

Load Test Data is the information used to simulate user activity during load testing. It should be realistic in volume and variety to accurately assess system performance under expected conditions.

Load Test Environment

A Load Test Environment is a setup mimicking production, used to simulate user traffic and assess system performance under expected and peak loads. It identifies bottlenecks and ensures stability.

Load Test Infrastructure

The load test infrastructure encompasses the hardware, software, and network resources required to simulate user traffic and measure application performance under expected and peak loads. It includes servers, load generators, monitoring tools, and network configurations.

Load Test Metrics

Load Test Metrics are quantifiable measures used to evaluate system performance under expected and peak load conditions, providing insights into stability, responsiveness, and resource utilization.

Load Test Monitoring

Load Test Monitoring is the process of observing system performance metrics during a load test to identify bottlenecks and ensure stability under expected user load.

Load Test Optimization

Load Test Optimization is the process of refining load testing strategies and configurations to achieve more accurate, efficient, and insightful results, leading to better system performance under stress.

Load Test Protocols

Load Test Protocols define the communication rules used during load testing to simulate user interactions with a system. They specify how requests are sent and responses are handled, ensuring realistic load simulation.

Load Test Reports

Load Test Reports summarize the performance of a system under specific load conditions. They detail response times, throughput, error rates, and resource utilization, providing insights into system stability and scalability.

Load Test Scenarios

Load Test Scenarios are specific, defined sequences of user actions designed to simulate realistic user behavior under expected and peak load conditions to evaluate system performance, stability, and scalability.

Load Test Types

Load Test Types are specific approaches to load testing, each designed to evaluate system performance under different simulated conditions and objectives.

Load Testing

Load Testing assesses system performance under expected user load. It identifies bottlenecks, ensures stability, and validates response times meet requirements before release.

Manual Testing

Manual Testing is software testing where test cases are executed by a human tester without using automation tools. It aims to identify defects and ensure the application functions as expected from an end-user perspective.

Microservices Testing

Microservices Testing ensures each independent service functions correctly and integrates seamlessly with other services to deliver the desired application functionality. It involves unit, integration, and end-to-end tests.

Mobile App Testing

Mobile app testing verifies functionality, usability, & performance on mobile devices. It ensures apps work correctly across different OS versions, screen sizes, & network conditions, meeting user expectations.

Mobile Beta Testing

Mobile Beta Testing is real-world testing of a mobile app by a group of external users before its official release. It helps identify bugs, usability issues, and gather feedback for improvement.

Mobile Compatibility Testing

Mobile Compatibility Testing ensures an application functions correctly across different mobile devices, OS versions, screen sizes, and network conditions, guaranteeing a consistent user experience.

Mobile Device Cloud

A Mobile Device Cloud is a service providing remote access to real mobile devices for app testing. It allows testing on various OS versions, device models, and network conditions without physical device ownership.

Mobile Network Testing

Mobile network testing assesses the performance, functionality, and security of mobile applications and devices across various network conditions, ensuring optimal user experience and reliability.

Mobile Performance Testing

Mobile Performance Testing evaluates a mobile app's responsiveness, stability, and resource usage under various conditions to ensure optimal user experience. It identifies bottlenecks and ensures the app meets performance benchmarks on different devices and networks.

Mobile Security Testing

Mobile Security Testing is the process of assessing mobile applications for vulnerabilities, ensuring data protection, and verifying compliance with security standards to safeguard user information and prevent unauthorized access.

Mobile Test Automation

Mobile Test Automation is the practice of using automated tools and scripts to execute tests on mobile applications, covering functionality, performance, and usability across different devices and platforms.

Mobile Test Engineer

A Mobile Test Engineer ensures the quality of mobile applications through planning, designing, and executing tests on various devices and platforms. They identify bugs, analyze results, and work with developers to deliver high-quality mobile experiences.

Mobile Test Lab

A mobile test lab is an infrastructure providing real mobile devices and emulators/simulators for testing mobile applications under various conditions. It enables comprehensive testing covering functionality, performance, compatibility, and user experience.

Mobile Test Reporting

Mobile Test Reporting is the process of documenting and communicating the results of mobile application testing, including pass/fail rates, bug reports, performance metrics, and overall quality assessment.

Mobile Usability Testing

Mobile Usability Testing evaluates how easily users can interact with a mobile app or website on a mobile device. It focuses on efficiency, effectiveness, and satisfaction to identify usability issues and improve the user experience.

Mocking and Stubbing

Mocking and stubbing are techniques used in software testing to isolate the code being tested by replacing dependencies with controlled substitutes. These substitutes provide predefined outputs, allowing focused verification of specific units.

Mockito for Android

Mockito for Android is a popular Java mocking framework adapted for Android development. It simplifies unit testing by allowing developers to create mock objects that simulate the behavior of real dependencies, isolating the code under test.

Model Validation

Model validation is the process of assessing whether a model accurately represents the real-world system it is intended to simulate. It ensures the model's assumptions, logic, and outputs are reasonable and aligned with the intended use.

Modified Condition/Decision Coverage

Modified Condition/Decision Coverage (MC/DC) is a white-box testing technique ensuring each condition in a decision independently affects the decision's outcome. It requires each condition to be shown to independently affect the decision's outcome.

Page Object Model

The Page Object Model (POM) is a design pattern in test automation that creates an object repository for web elements, reducing code duplication and improving test maintenance.

Path Coverage

Path Coverage is a structural testing method ensuring each independent path in a program is executed at least once. It aims to test all possible routes through the code, maximizing test coverage and revealing potential defects.

Performance Test Engineer

A Performance Test Engineer is responsible for planning, designing, executing, and analyzing performance tests to ensure software applications meet performance requirements like speed, stability, and scalability under expected workloads.

Performance Testing

Performance Testing evaluates a system's speed, stability, scalability, and responsiveness under expected workloads. It identifies bottlenecks and ensures the application meets performance requirements.

Playwright

Playwright is a Node.js library by Microsoft for reliable end-to-end testing. It enables cross-browser automation (Chromium, Firefox, WebKit) with a single API. It supports multiple languages and offers features like auto-waiting and tracing.

Playwright API Testing

Playwright API Testing validates an application's backend by sending HTTP requests and verifying responses. It ensures API endpoints function correctly, handle data appropriately, and meet performance and security requirements, without involving the UI.

Playwright Codegen

Playwright Codegen is a tool that automatically generates Playwright test code by recording browser interactions. It simplifies test creation by translating actions into executable scripts, speeding up test automation.

Playwright Fixtures

Playwright Fixtures are reusable test setup and teardown components. They manage test state, providing a clean environment for each test. Fixtures enhance test maintainability and reduce boilerplate code by encapsulating common setup tasks.

Playwright Inspector

Playwright Inspector is a GUI tool in Playwright that helps debug and explore web applications. It allows developers to step through test execution, inspect the DOM, generate selectors, and analyze network requests, making debugging and test creation easier.

Playwright Locators

Playwright Locators are strategies used to identify elements on a webpage, enabling interaction with them in automated tests. They offer robust and reliable element selection, reducing test flakiness.

Playwright Network Interception

Playwright Network Interception allows you to monitor and modify network requests and responses made by your browser during tests. This enables mocking API calls, simulating different network conditions, and verifying application behavior under various scenarios.

Playwright Reporters

Playwright Reporters generate test execution reports. They format test results into readable formats like HTML, JSON, or JUnit XML, aiding in analysis and debugging. Playwright offers built-in reporters and supports custom implementations.

Playwright Test

Playwright Test is a Node.js framework for reliable end-to-end testing of web applications. It supports multiple browsers (Chromium, Firefox, WebKit), operating systems, and programming languages (JavaScript, TypeScript, Python, Java, .NET). It enables fast, stable, and isolated test execution.

Playwright Trace Viewer

Playwright Trace Viewer is a GUI tool that allows developers to record and inspect Playwright test executions. It captures snapshots, logs, network requests, and other data, enabling detailed debugging and analysis of test failures.

Prompt Testing

Prompt Testing is evaluating Large Language Models (LLMs) by crafting specific inputs (prompts) to assess their responses for accuracy, bias, safety, and adherence to instructions.

Puppeteer

Puppeteer is a Node.js library providing a high-level API to control Chrome or Chromium programmatically. It's used for automating browser actions like navigation, form submission, UI testing, and generating screenshots/PDFs.

Puppeteer Cluster

Puppeteer Cluster distributes Puppeteer tasks across multiple processes or machines, enabling parallel execution for faster and more scalable browser automation and testing. It optimizes resource utilization and improves performance for large-scale scraping or testing scenarios.

Puppeteer Coverage

Puppeteer Coverage tracks which parts of your code are executed during Puppeteer browser automation tests. It helps identify untested code, improving overall test effectiveness and code quality.

Puppeteer ElementHandle

An ElementHandle in Puppeteer represents an in-page DOM element. It allows interaction with and manipulation of that element, enabling actions like clicking, typing, and retrieving properties. It provides a way to work with specific parts of a webpage.

Puppeteer Network Interception

Puppeteer Network Interception allows you to observe and modify network requests and responses made by a Chromium instance controlled by Puppeteer. This enables simulating various network conditions, mocking API responses, and testing application behavior under different scenarios.

Puppeteer Page Object

A Puppeteer Page Object is a design pattern that creates an abstraction layer representing a web page within automated tests, encapsulating its elements and interactions for cleaner, maintainable, and reusable code.

Puppeteer Recorder

Puppeteer Recorder is a browser extension that records user interactions and generates Puppeteer code. It simplifies test automation by automating script creation based on recorded actions within a browser.

SDET

A Software Development Engineer in Test, or SDET, is a software professional with skills in both software development and testing. They design, build, and maintain automated testing frameworks and tools.

Security Test Engineer

A Security Test Engineer assesses software vulnerabilities through testing, identifies security risks, and recommends mitigation strategies to protect systems from threats.

Selenium

Selenium is a suite of tools for automating web browsers. It's primarily used for testing web applications, allowing developers to write scripts that simulate user interactions.

Selenium Grid

Selenium Grid enables parallel test execution across different browsers, operating systems, and machines. It distributes tests to multiple nodes, accelerating testing and improving efficiency.

Selenium IDE

Selenium IDE is a record and playback tool for automating web browser interactions. It allows users to create and execute automated tests without needing extensive programming knowledge, making it ideal for quick test creation and prototyping.

Selenium WebDriver

Selenium WebDriver is an open-source API that allows you to automate web browser interactions. It provides a platform-neutral interface to control browsers, enabling automated testing of web applications.

Self-Healing Tests

Self-Healing Tests are automated tests that can dynamically adjust to changes in the application's UI or underlying code, reducing test maintenance efforts and improving test stability.

Service Mesh Testing

Service Mesh Testing validates the reliability, security, and performance of a service mesh and its impact on microservices. It ensures proper routing, traffic management, and policy enforcement within the mesh.

Shift-Left Testing

Shift-Left Testing is the practice of moving testing earlier in the software development lifecycle. This involves incorporating testing activities, such as unit and integration tests, into the development phase rather than solely at the end.

Sitemap Testing

Sitemap testing verifies a website's sitemap.xml file, ensuring it's valid, contains all relevant URLs, and helps search engines crawl the site effectively. It checks for broken links, proper structure, and adherence to sitemap protocols.

Smoke Testing

Smoke testing verifies the most critical functionalities of a software build before further testing. It ensures the application's core features work as expected and the build is stable enough for deeper testing.

Spectron

Spectron is an open-source testing framework for Electron applications. It allows developers to write automated functional tests that simulate user interactions with the application's UI.

Statement Coverage

Statement Coverage measures the percentage of executable statements in the source code that have been exercised by a test suite. It helps assess the extent to which the code has been tested.

Supply Chain Security Testing

Supply Chain Security Testing is evaluating the security risks associated with third-party vendors, open-source components, and other elements within a software's supply chain to ensure integrity and prevent vulnerabilities.

Synthetic Alert Management

Synthetic Alert Management is a proactive approach to monitoring systems by generating artificial alerts to test alert configurations, response workflows, and overall system observability.

Synthetic Baseline

A Synthetic Baseline is a performance benchmark created artificially, often using simulated data or traffic, to establish expected system behavior under specific conditions.

Synthetic Error Detection

Synthetic Error Detection is a technique where artificial errors are intentionally introduced into a system to evaluate the effectiveness of error detection and handling mechanisms.

Synthetic Monitoring

Synthetic Monitoring is proactive testing that simulates user paths to monitor application performance and availability. It identifies issues before real users experience them.

Synthetic Performance Metrics

Synthetic Performance Metrics are artificially created measurements used to evaluate system performance under simulated conditions, often to predict behavior in real-world scenarios.

Synthetic Test Locations

Synthetic Test Locations are simulated environments used to proactively monitor application performance from various virtual geographic points, without relying on real user traffic.

Synthetic Test Scripts

Synthetic Test Scripts are pre-written, automated tests that simulate user behavior to evaluate software performance and functionality. They are often used for performance testing, monitoring, and regression testing.

Synthetic Testing

Synthetic testing is a proactive monitoring technique using simulated user transactions to test application performance and availability without relying on real user traffic.

System Testing

System testing validates the fully integrated software product. It assesses the system's compliance with specified requirements, ensuring all components work together as expected.

Technical Debt Management

Technical Debt Management is the process of identifying, assessing, and prioritizing technical debt to minimize its negative impact on software development and maintenance. It involves strategies for repayment and prevention.

Test Architect

A Test Architect is responsible for defining the overall testing strategy, designing the testing framework, and selecting appropriate testing tools and methodologies for a project or organization.

Test Automation

Test Automation is the use of software to control the execution of tests, compare actual outcomes with predicted outcomes, set up test preconditions, and report test results. It reduces manual effort and improves efficiency.

Test Automation Engineer

A Test Automation Engineer designs, develops, and maintains automated test scripts to validate software functionality, ensuring quality and efficiency in the testing process. They use various tools and frameworks to streamline testing efforts.

Test Case

A test case is a detailed set of actions to verify a specific feature or functionality of a software application. It includes inputs, execution conditions, testing procedure, and expected results.

Test Coach

A test coach guides and mentors testing teams, fostering skill growth, promoting best practices, and improving overall testing effectiveness. They focus on empowering the team, not directing their work.

Test Coverage

Test Coverage measures the extent to which the source code of a program has been tested. It quantifies the proportion of code executed during testing, providing insights into the thoroughness of the testing process.

Test Documentation

Test Documentation is a collection of documents describing aspects of software testing like the test plan, cases, and results. It provides traceability, repeatability, and a clear understanding of the testing process.

Test Environment

A Test Environment is a setup of software and hardware for the testing teams to execute test cases. It supports test execution with hardware, software and network configurations.

Test Execution Log

The Test Execution Log is a detailed record of the steps, results, and environment during test execution. It captures pass/fail status, errors, and performance data for analysis and reporting.

Test Flakiness

Test flakiness refers to tests that sometimes pass and sometimes fail without any code changes. These inconsistent results make it difficult to determine the true state of the application under test.

Test Flakiness Analytics

Test Flakiness Analytics is the process of identifying, analyzing, and mitigating flaky tests, which are tests that sometimes pass and sometimes fail without any code changes. It aims to improve test reliability and reduce wasted developer time.

Test Manager

The Test Manager oversees all testing activities within a software development project. They create test plans, manage test teams, allocate resources, track progress, and ensure quality standards are met.

Test Matrix

A Test Matrix is a table that maps test cases to requirements, features, or other testable items. It ensures comprehensive test coverage and helps track testing progress.

Test Metrics

Test Metrics are quantitative measures used to track and assess the progress, quality, and efficiency of the software testing process. They provide insights into various aspects of testing, enabling informed decision-making and process improvement.

Test Plan

A document outlining the scope, objectives, resources, and schedule of testing activities. It details the approach to testing the software, including test environment, test cases, and risk assessment.

Test Scenarios

A test scenario outlines a specific functionality or feature to be tested. It ensures comprehensive coverage by defining what to test, not how to test it, focusing on end-user perspective and system behavior.

Test Setup and Teardown

Test Setup and Teardown are processes executed before and after test execution. Setup prepares the environment, data, and preconditions. Teardown restores the system to its original state, cleans up resources, and ensures no residual effects impact subsequent tests.

Test Suite

A test suite is a collection of test cases intended to verify that a software program has a specified set of behaviors. These tests are often grouped together to achieve specific testing goals.

Test-Driven Development

Test-Driven Development is a software development process where tests are written before the code. These tests initially fail and then code is written to pass the tests, followed by refactoring. This ensures code meets requirements.

TestFlight Testing

TestFlight Testing is a platform for beta testing iOS, iPadOS, macOS, tvOS, and watchOS apps before public release. It allows developers to distribute builds to testers, gather feedback, and iterate on their apps.

Testing Analytics

Testing Analytics is the process of collecting, analyzing, and interpreting testing data to gain insights, improve testing efficiency, and make data-driven decisions about software quality.

Testing Budget Optimization

Testing Budget Optimization is the process of allocating testing resources effectively to maximize test coverage and minimize costs, ensuring the highest possible software quality within financial constraints.

Testing Career Paths

Testing Career Paths are the various roles and specializations testers can pursue, ranging from manual testing to automation, performance, security, and leadership positions.

Testing Center of Excellence

A Testing Center of Excellence (TCoE) is a centralized unit within an organization that provides leadership, best practices, support, and training for software testing to improve quality, efficiency, and consistency across projects.

Testing in Production

Testing in Production is the practice of testing software in a live environment with real users and data. It helps uncover issues that may not be found in pre-production environments.

Testing Library

Testing Library is a set of tools that allows you to test UI components in a way that resembles how users interact with them, focusing on accessibility and user experience.

Testing ROI Metrics

Testing ROI Metrics are quantifiable measures used to evaluate the efficiency & effectiveness of testing efforts by comparing the cost of testing to the benefits gained, such as defect reduction & improved software quality.

Testing Team Structure

The arrangement of roles, responsibilities, and reporting relationships within a testing group. It defines how testers collaborate, communicate, and contribute to the overall quality assurance process.

Testing Transformation

Testing Transformation is a strategic shift in testing practices, adopting new methodologies, technologies, and organizational structures to improve efficiency, quality, and speed of software delivery.

TestNG

TestNG is a testing framework inspired by JUnit and NUnit but introduces new functionalities that make it more powerful and easier to use, especially when testing complex enterprise applications.

Transaction Synthetic Testing

Transaction Synthetic Testing is a proactive monitoring technique simulating user transactions to assess application performance and availability. It identifies issues before real users are impacted by mimicking key business processes.

V-Model

The V-Model is a software development lifecycle model where execution of processes happens in a sequential manner in a V shape. It demonstrates the relationship between each phase of development and its associated phase of testing.

Verification Testing

Verification testing evaluates if the software meets specified requirements and design. It ensures the product is built correctly, confirming it aligns with the initial specifications and standards.

Virtual Users

Virtual Users are simulated users that interact with a software application to emulate real user behavior, used primarily in performance testing to assess system behavior under load.

Visual AI Testing

Visual AI Testing is a software testing approach that uses artificial intelligence to automatically validate the user interface (UI) of an application, ensuring visual consistency and identifying defects that traditional testing methods might miss.

Visual Comparisons

Visual Comparisons involve automatically comparing images of an application's UI to detect visual regressions or differences. This ensures the UI renders correctly across different environments and changes.

Visual Regression Testing

Visual Regression Testing compares screenshots of an application's UI before and after code changes. It detects unintended visual differences, ensuring that updates haven't introduced visual defects or broken existing UI elements.

Vitest

Vitest is a fast unit test framework powered by Vite. It offers speed and a familiar developer experience, especially for those using Vue, React, Svelte, or other modern JavaScript frameworks. It's designed to be compatible with Jest.

Vitest Coverage

Vitest Coverage measures the extent to which a project's source code is executed when a test suite runs. It helps identify untested areas, ensuring code reliability and reducing the risk of undetected bugs. High coverage indicates thorough testing.

Vitest Snapshots

Vitest Snapshots are a testing technique that captures the output of a component or function and saves it as a baseline. Subsequent test runs compare the output to the saved snapshot, flagging any discrepancies as failures, ensuring UI consistency and preventing unexpected changes.

Vitest UI

Vitest UI is a graphical user interface for Vitest, a fast unit test framework. It provides a visual representation of test results, code coverage, and other testing metrics, enhancing the developer experience.

Web Crawler

A web crawler is an automated program that systematically browses the World Wide Web, typically for the purpose of Web indexing. Also known as a spider or bot, it discovers and retrieves web pages.

Web Scraping

Web scraping is an automated process of extracting data from websites. It involves fetching web pages, parsing their HTML structure, and extracting specific information for various purposes.

WebDriver BiDi

WebDriver BiDi is a next-generation protocol enabling bidirectional communication between a test automation script and a browser, offering real-time access to browser internals for enhanced testing and debugging capabilities.

WebDriver Protocol

The WebDriver Protocol is a remote control interface that enables out-of-process control of user agents (browsers). It defines a platform- and language-neutral wire protocol, allowing programs to remotely instruct the behavior of web browsers.

WebdriverIO Appium

WebdriverIO Appium is a framework for automating native, hybrid, and mobile web apps. It combines WebdriverIO's JavaScript bindings with Appium's mobile automation capabilities, enabling cross-platform testing on iOS and Android.

White Box Testing

White box testing examines the internal structure and code of an application. Testers use knowledge of the code to design tests that verify internal operations, logic, and paths. It contrasts with black box testing, which focuses on external functionality.

Windows UI Automation

Windows UI Automation is an accessibility framework that allows automated testing tools to interact with UI elements of Windows applications. It exposes information about UI elements and enables programmatic control.