Definitions About Software Testing

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AI-driven test automation

AI-driven test automation is a testing approach that utilizes artificial intelligence technologies to automate the testing process.

AI-driven testing

AI-driven testing refers to the use of artificial intelligence technologies in the software testing process to enhance efficiency and effectiveness.

AI-powered test case generation

Learn how AI-powered test case generation revolutionizes test automation in software testing.

API journey testing

API journey testing is a comprehensive approach to testing APIs through their entire lifecycle. It involves testing APIs from end to end, ensuring that they function correctly and meet all requirements. This type of testing is essential for ensuring the quality and reliability of APIs in various scenarios.

API process testing

API process testing is a type of software testing that focuses on evaluating the functionality and performance of APIs in an automated manner.

API test automation

API test automation refers to the practice of using automated tools to execute tests of Application Programming Interfaces.

API testing

API testing is a type of software testing that involves testing APIs (Application Programming Interfaces) directly, focusing on the functionality, reliability, performance, and security of the API.

automated user interaction

Automated user interaction in software testing refers to the process of simulating user actions and interactions with the software application using automated testing tools.

automated verification

Automated verification is the process of using software tools to automatically verify whether a system or application behaves as expected.

autonomous interactions

Autonomous interactions refer to actions performed by a software program without direct human intervention, typically in the context of test automation.

autonomous software testing

Autonomous software testing refers to the use of automated tools and processes to execute test cases, report results, and make decisions without human intervention.

autonomous testing

Autonomous testing refers to the use of artificial intelligence and other advanced technologies to automate the testing process in software development.

autonomous verification, test automation

Autonomous verification in test automation refers to the process of automated testing where the testing tool makes decisions independently without human intervention.

black box testing

Black box testing is a software testing method where the internal structure, design, and implementation of the system are not known to the tester.

business analyst automation, test automation

Business analysts play a crucial role in automating testing processes to improve efficiency and accuracy. This article explores the various techniques and tools that business analysts can utilize for test automation.

business analyst testing

Business analyst testing is a crucial process in software development that involves evaluating and validating requirements and solutions from a business perspective.

button automation

Button automation refers to the process of automating the testing of buttons or clickable elements in a software application. This can help improve efficiency and accuracy in testing workflows.

CI/CD integration

CI/CD integration in test automation refers to the process of incorporating continuous integration and continuous delivery practices into the software testing workflow. This allows for automated testing to be seamlessly integrated into the development pipeline, ensuring faster feedback and more efficient delivery of software updates.

CI/CD test integration

CI/CD test integration refers to the practice of incorporating automated testing into the continuous integration/continuous delivery process. This involves running tests automatically whenever new code is added to the repository, ensuring that any changes do not introduce bugs or errors into the application.

citizen developers testing

Citizen developers testing refers to the practice of non-professional testers, typically those from business or end-user backgrounds, engaging in the testing process within software development projects.

cloud-based testing

Cloud-based testing refers to the method of software testing in which testing is performed using cloud infrastructure and virtual resources, as opposed to using on-premises servers and hardware. This approach allows testing teams to access testing environments remotely and conduct tests on a variety of platforms and devices.

code-free test automation

Code-free test automation refers to the process of automating software testing without the need for writing complex code scripts.

common element automation

Common Element Automation refers to the process of automating repetitive tasks or actions that involve the same elements across different test cases in software testing.

comprehensive test reporting

Comprehensive test reporting is a crucial aspect of software testing, providing detailed insights into the testing process and results.

continuous testing

Continuous testing is the practice of running automated tests throughout the software development lifecycle to obtain immediate feedback on the business risks associated with a software release.

contract testing

Contract testing is a software testing technique that validates the interactions between different microservices or components by defining a set of agreements or contracts.

cross-application testing

Cross-application testing is a type of software testing that involves testing interactions between different applications. This ensures that the applications work seamlessly together and share data accurately.

cross-device testing

Cross-device testing is a software testing technique that aims to ensure the functionality and compatibility of a website or application across different devices, such as smartphones, tablets, and desktop computers.

cross-platform testing

Cross-platform testing is a software testing technique used to ensure the functionality and compatibility of an application across different operating systems, devices, and browsers.

cross-technology testing

Cross-Technology Testing involves testing applications that are built using different technologies to ensure compatibility and functionality across various platforms.

developer testing tools

Developer testing tools are software programs used by developers to automate testing processes and ensure the quality of their code.

device testing automation

Device testing automation refers to the process of automating the testing of software applications on different devices to ensure functionality and compatibility.

dropdown automation

Dropdown automation refers to the process of automating the testing of dropdown menus in software applications.

element identification, test automation

Element identification in testing refers to the process of locating and interacting with elements on a webpage or application to validate its behavior. This is crucial for test automation to accurately simulate user interactions and verify the functionality of the software.

element interaction automation

Element Interaction Automation refers to automating the interactions between elements in a software application to enhance test automation efficiency.

element interaction verification

Element Interaction Verification is the process of testing the interactions between elements in a software application to ensure they function correctly.

end-to-end testing

End-to-end testing is a comprehensive software testing strategy that aims to test the entire software application from start to finish.

end-to-end automation

Automating end-to-end user journeys in software testing is essential for ensuring smooth interactions and identifying potential issues throughout the process.

end-to-end user journeys

End-to-end user journeys refer to the complete path a user takes through a software application, from start to finish, in the testing process.

flakiness-free testing

Flakiness-free testing is crucial for reliable test automation. Learn how to achieve consistent and stable test results.

flakiness

Flakiness in testing refers to the inconsistency in test results when the same tests are run multiple times. This phenomenon can be frustrating for test automation engineers as it can lead to false positives or negatives, making it challenging to trust the reliability of the tests.

generative AI

Generative AI is revolutionizing test automation by leveraging advanced algorithms to create automated tests scenarios that mimic human behavior and interactions with software systems.

Generative Journey Creator

The Generative Journey Creator is a software tool used in software testing to automate the process of creating test cases and scenarios. It allows testers to easily generate test data, inputs, and expected outcomes, saving time and increasing test coverage.

image-based test automation

Image-based test automation refers to the practice of using images or screenshots of the application under test as a reference for creating automated test scripts.

image convolution

Image convolution in testing refers to the process of applying a filter or kernel to an image to enhance or extract specific features for analysis.

image recognition in testing

Image recognition in testing refers to the process of using automated tools to identify and verify graphical elements within a software application. This technique can help streamline the testing process by reducing manual effort and improving accuracy.

integrated test environments

Integrated test environments refer to the setup where different components of an application are tested together in a controlled environment. This allows for comprehensive testing of the system as a whole, ensuring that all individual parts work seamlessly together.

intelligent test automation

Intelligent test automation harnesses the power of artificial intelligence to improve the efficiency and effectiveness of software testing processes.

isolation API testing

Isolation API testing is a software testing technique that focuses on testing individual APIs in isolation to ensure they function correctly and produce the expected results.