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A Frontend Web Developer's Guide to Testing: Explore leading web test automation frameworks and their future driven by low-code and AI. Packt Publishing. ISBN 978-1803238319. Irvine, Daniel (2023). Svelte with Test-Driven Development: Advance your skills and write effective automated tests with Vitest, Playwright, and Cucumber.js. Packt Publishing.
Katalon Platform is an automation testing software tool developed by Katalon, Inc. The software is built on top of the open-source automation frameworks Selenium, Appium with a specialized IDE interface for web, API, mobile and desktop application testing. [1] Its initial release for internal use was in January 2015.
Cypress is a frontend test automation tool for regression testing of web applications. Cypress runs on Windows, Linux, and macOS. Cypress app is open-source software released under the MIT License, while the Cypress Cloud is a web application. Cypress has been compared to Selenium. [2] [3] [4]
OpenText™ UFT One, an AI-powered functional testing tool, accelerates test automation across desktop, web, mobile, mainframe, composite, and packaged enterprise-grade applications. It was formerly known as Micro Focus Unified Functional Testing and QuickTest Professional ( QTP ).
American Fuzzy Lop (AFL), stylized in all lowercase as american fuzzy lop, is a free software fuzzer that employs genetic algorithms in order to efficiently increase code coverage of the test cases. So far it has detected dozens of significant software bugs in major free software projects, including X.Org Server , [ 2 ] PHP , [ 3 ] OpenSSL ...
The history of open-source artificial intelligence (AI) is intertwined with both the development of AI technologies and the growth of the open-source software movement. [19] Open-source AI has evolved significantly over the past few decades, with contributions from various academic institutions, research labs, tech companies, and independent ...
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OpenVINO is an open-source software toolkit for optimizing and deploying deep learning models. It enables programmers to develop scalable and efficient AI solutions with relatively few lines of code. It supports several popular model formats [2] and categories, such as large language models, computer vision, and generative AI.