green automation testing framework index.
A clean, colorful, fast python test runner.
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CSS gradients for background have become an indispensable aspect UI/UX design and have a massive impact on a website’s design. It plays a fundamental role in setting the design hierarchy, capturing user attention and focus, and finally defining website usability and appearance. The common forms of backgrounds that websites employ could either be solid colors, images, gradients or a combination of all three. CSS Gradients for background empowers designers for displaying smooth transitions between numerous colors. Not only are gradients being used for header or section backgrounds but also for creating CSS Gradients for overlays, text, buttons, borders, outlines, skewed blocks and banners.
Imagine breaking down a single function unit into multiple mini-service units. That is exactly what microservices do to the traditional monolithic architecture. But, there is more to it than meets the eye. Microservices are the go-to solution for all the major software development projects.
While performing UI automation testing on a webpage, we all try to work with the web elements such as buttons, texts, etc. Interaction with the WebElements in the DOM is made possible with the help of Selenium locators. However, there are certain elements on a web page that even the locators can’t manage. Pseudo-elements in CSS fall in that category. Without the correct information, these pseudo-elements can be very hard to automate. In this article, we will see how to handle pseudo-elements in CSS with Selenium WebDriver.
Test Coverage and Code coverage are the most popular methodologies for measuring the effectiveness of the code. Though these terms are sometimes used interchangeably since their underlying principles are the same. But they are not as similar as you may think. Many times, I have noticed the testing team and development team being confused over the use of these two terminologies. Which is why I thought of coming up with an article to talk about the differences between code coverage and test coverage in detail.
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Description:
Verify that the API correctly handles output sanitization and returns the correct HTTP status code and error message.
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Verify that the API correctly handles API testing and returns the correct resources for each API test.
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Verify that the API correctly handles cookies and returns the correct HTTP status code.
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Verify that the API correctly handles cross-site scripting (XSS) attacks and returns the correct HTTP status code.
green can be downloaded from it’s GitHub repository - https://github.com/CleanCut/green
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A utility library for mocking out the requests Python library.
unittest-based test runner with Ant/JUnit like XML reporting.
Robot Framework Automation Library for Android
Slash is an automation testing framework written in Python, intended for testing large scale projects. Slash focuses on customization and extensibility at core.
Extends Selenium WebDriver classes to include the request function from the Requests library, while doing all the needed cookie and request headers handling.
Java library supporting JUnit framework tests providing utilities that can run in Docker container
PowerMock is a Java framework that allows you to unit test code normally regarded as untestable.
GoMock is a mocking framework for the Go programming language.
factory_bot is a fixtures replacement with a straightforward definition syntax , support for multiple build strategies and support for multiple factories.
Knapsack splits tests evenly across parallel CI nodes to run fast CI build and save you time.
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