AppAchhi

Alithya GoTest is a collaborative test hub that is easy and quick to master and integrate, ensuring the quality of any professional digital solutions for companies requiring reliability without compromises. Ensure the quality of your application without sacrificing speed or agility with an easy-to-use, GUI test automation tool. Whether using scripts or not, our flexibility is unmatched, letting you create manual, automated or hybrid test suites for every desktop, web, and mobile application with ease including .Net, Java, WPF and Windows 10, modern JavaScript frameworks like React and Angular and iOS or Andoid with 2050+ browser and platform configurations. No need to jailbreak your devices. Alithya GoTest comes with a keyword library of over 1500 keywords, so you can ensure your GUI and API tests are scalable, robust, and easy to maintain. Alithya also offers consulting, coaching and training to ensure the success of your teams.

AWS Device Farm is an application testing service that lets you improve the quality of your web and mobile apps by testing them across an extensive range of desktop browsers and real mobile devices; without having to provision and manage any testing infrastructure. The service enables you to run your tests concurrently on multiple desktop browsers or real devices to speed up the execution of your test suite, and generates videos and logs to help you quickly identify issues with your app. Test your app in parallel against a massive collection of physical devices in the AWS Cloud. Use one of our built-in frameworks, to test your applications without having to write or maintain test scripts, or use one of our supported automation testing frameworks. Gesture, swipe, and interact with devices in real time, directly from your web browser. Run your Selenium tests in parallel on multiple versions of Chrome, Internet Explorer, and Firefox, that are hosted in the AWS Cloud.

Software Testing and Automation 4. Project URL: (if available) [https://www.sofy.ai/](https://www.sofy.ai/) 5. Who should use this project: - Software testers: Sofy automates software testing, making it faster and more efficient for testers. Testers can use Sofy to create test scenarios, run tests at scale, and analyze test results. - Software developers: Developers can use Sofy to identify bugs and issues in their code. Sofy can automatically create tests based on code changes and suggest test scenarios based on customer usage data, helping developers catch and fix problems before they reach the end user. - Product managers: Sofy provides insights into the quality and performance of software products. Product managers can use Sofy to track the progress of testing, prioritize bug fixes, and optimize the user experience based on customer usage data. 6. Why should users use this project: - Automatic test generation: Sofy uses machine learning algorithms to automatically generate tests. This saves time and effort for software testers and developers, enabling them to focus on other important tasks. - Scalability: Sofy allows users to run tests at scale, simulating real-world usage scenarios. This helps identify potential issues that may occur in different environments and under different conditions. - Customer-centric testing: Sofy suggests test scenarios based on customer usage data, ensuring that the software is tested in a way that reflects real usage patterns. This helps identify and fix issues that may impact the user experience. - Efficiency and accuracy: Sofy streamlines the software testing process, reducing the likelihood of human errors. Its machine learning algorithms continuously learn from previous tests, improving the accuracy of future test scenarios. 7. How to use this project: - Users can sign up for an account on the Sofy website and follow the provided instructions to set up their projects and test environments. - Once the project is set up, users can define test scenarios, configure test parameters, and run tests. - Sofy provides comprehensive test reports and analytics, allowing users to track the progress of testing and identify any issues or bugs that need to be addressed. - Users can also utilize Sofy's integrations with popular software development and project management tools to streamline their testing process. 8. What are the key features of this project: - Automatic test generation: Sofy uses machine learning algorithms to automatically generate tests based on code changes, product requirements, and customer usage patterns. - Test scenario suggestions: Sofy suggests test scenarios based on customer usage data, ensuring that the software is tested in a way that reflects real-world usage patterns. - Scalability: Sofy allows users to run tests at scale, simulating real-world usage scenarios and identifying potential issues in different environments. - Test analytics and reporting: Sofy provides comprehensive test reports and analytics, allowing users to track the progress of testing and identify any issues or bugs that need to be addressed. - Integrations: Sofy integrates with popular software development and project management tools, making it easy to incorporate into existing workflows. 9. Statistics (if available): - Number of users: The exact number of users of Sofy is not available, but it is widely used by software testers, developers, and product managers in various industries. - Test coverage: Sofy claims to provide complete test coverage, allowing users to test their software thoroughly and identify any potential issues. - Test efficiency: Sofy aims to improve test efficiency by automating the testing process and reducing the need for manual intervention.