Artificial Intelligence For Testing
The introduction of artificial intelligence (AI) testing tools is likely to change how we test. We can only expect how we apply it and what it does. At a high level, developers can use AI to identify flaws in their code, making them more productive and efficient programmers.
Selenium: Selenium is an excellent tool if you're looking for a robust testing mechanism that can automate web browsers. It is open source, has great community support, and can be used with various programming languages.
NIST Calibration Toolkit: The NIST Calibration Toolkit was developed to provide engineers with free access to reliable methods for calibrating their instruments against standards when dealing with measurements made in electromagnetic fields.
Behave: It is a lightweight behavior-driven development (BDD) framework built to run on top of JUnit and TestNG. Behave was created out of a need for a simple testing framework with expressive reporting capabilities while offering everything necessary to write good tests effectively.
JBehave: Open source extension of the popular Java library JUnit, adds various language extensions that help users create executable specifications in plain English without needing any programming skills.
Cucumber: Cucumber captures system requirements at a high level using natural language format; these requirements are transformed into automated acceptance tests in graphical interface and console mode.
Test IO - It is a cloud-based test management tool that automates testing across environments, browsers, & platforms. No code or particular setup is required as it provides a flexible drag-and-drop user interface with pre-configured templates to test cases seamlessly.
Testdroid: It is a set of tools that enables automated test cases on real devices. It supports multiple OSs, platforms, and device models, including Android, iOS, and Windows Phone.