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Google Test UI is a software tool for testing computer programs, and serves as a test runner. It employs a 'test binary', a compiled program responsible for executing tests and analyzing their results, to evaluate software functionality. It visually presents the testing progress through a progress bar and displays a list of identified issues or ...
Project IDX is an online integrated development environment (IDE) developed by Google. [2] It is based on Visual Studio Code , and the infrastructure runs on Google Cloud . In addition to including the features, languages and plugins supported by VS Code , it has unique functionality built by Google.
Bun is a JavaScript runtime, package manager, test runner and bundler built from scratch using the Zig programming language. [4] [5] It was designed by Jarred Sumner as a drop-in replacement for Node.js. Bun uses WebKit's JavaScriptCore as the JavaScript engine, [6] unlike Node.js and Deno, which both use V8.
API testing is a type of software testing that involves testing application programming interfaces (APIs) directly and as part of integration testing to determine if they meet expectations for functionality, reliability, performance, and security. [1] Since APIs lack a GUI, API testing is performed at the message layer. [2]
The @playwright/test runner was released later as part of an effort to provide a more comprehensive solution for browser-based testing. Its development was largely based on the need to have a specialized runner that can leverage the full potential of the Playwright API and make end-to-end testing more robust and straightforward.
API testing – testing of the application using public and private APIs (application programming interfaces) Code coverage – creating tests to satisfy some criteria of code coverage (for example, the test designer can create tests to cause all statements in the program to be executed at least once)
This embeds the API description in the source code of a project and is informally called code-first or bottom-up API development. Alternatively, using Swagger Codegen, developers can decouple the source code from the Open API document, and generate client and server code directly from the design. This makes it possible to defer the coding aspect.
The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, [1] Places API [2] or Google Earth API. [3]