To deliver quality software, testers need to adopt highly advanced techniques. Undoubtedly, automation testing is one of the chief approaches in a continuous delivery cycle. However, meeting business’s changing and dynamic requirements requires one step above automation testing. Here, the role of AI test automation comes into the picture. This blog will discuss some of the advantages of AI-based automation. We will also list some renowned AI test automation tools.

Advantages of AI Automation Testing

Effective Automation Testing: AI-assisted test automation enhances tests’ overall depth and scope. For instance, as AI is the simulation of human intelligence, it can make informed decisions by analyzing and adjusting test results.

Extensibility: AI enables non-technical users to also participate in the testing process. Hence leading to extensibility in the overall testing. AI test automation also facilitates actionable feedback in real time.

Auto-Generated Test Scripts: NLP is the part of AI that empowers non-technical users to get relevant information by feeding test cases in English quickly.

Enhanced Regression Testing: AI test automation can compare the resulting trend with the current code to identify the impacted area; hence, it can be well-suited to regression testing.

Some Renowned AI Automation Testing Tools

It is an AI test automation platform that streamlines the overall testing process. It has AI-based change impact assessment features that automatically recognize the affected test cases and suggest test cases based on the highlighted risk. It makes test maintenance effortless. As it is a codeless test automation tool, even non-technical users can also participate in the testing process without prior programming and coding experience.

Moreover, its machine learning algorithm can identify erroneous data, like impacted modules. Due to this, it helps testers recognize the critical and frequently occurring bugs or issues. Self-healing technology, one-click test creation, etc., are some of the features of this tool.

It is one of the renowned AI testing tools. Its powerful auto-healing capabilities help correct the errors. It enables QA analysts to design automated tests for desktop applications, APIs, and mobile. The testing team can execute tests parallely through this tool.

Moreover, no installation is required as it is a cloud-based AI test automation tool. Some of its features include an intuitive dashboard, automatic healing, seamless integration with CI/CD tools, and data-driven capabilities for creating real-time test cases.

It is a low-code test tool that has a user-friendly GUI interface. Testers need not to write the test scripts. Its features, like extensive end-to-end test abilities, help high-velocity testing for busy teams.

Some of its key features are the potential to use data to produce insights for developers and to navigate the dashboard. Furthermore, Mabl improves collaboration with different stakeholders across every phase.

It is an intuitive web-based platform that offers flexibility and visibility. It uses its Natural Language Processing (NLP) capabilities for the test execution. It is one of the AI-driven test automation tools with multilingual capabilities. Due to its NLP-driven feature, tests can optimize the test execution time. This tool is a viable option for large tech companies.

Centralized test management, access controls, automatic test generation, and detection and error correction are some of the features of this tool.

It is a tool that leverages new-age technologies, like AI and ML, for test execution. This tool has multiple uses; it can be used for automated tests for desktop, mobile, and web-based apps.

Apart from this, Applitools is renowned for its speed and accuracy. Visual test analytics, test management, integration with existing tests, maintenance, and automation are some of the features of this tool.

It is a Selenium-based AI-driven test automation tool through which manual and automated testing can be performed. It can run repetitive tests and deliver tests for web-based software quickly.

It has a multilingual feature through which developers can create tests in multiple languages and run them on a tool. It is a Saas-based tool that can be easily integrated with other tools.

Wrapping Up!

Incorporating AI test automation can help businesses reap the maximum benefits, such as scalability, quick feedback, automatic fixation of errors, and much more. AI in test automation ensures the quality development of software. However, choosing the right tool is crucial as it can pave the way towards better ROI and productivity of employees.

Opkey is a codeless test tool that leverages new-age technology, like AI. Its key technical features, such as one-click test creation, self-healing technology, and AI-powered test automation, make it one of the most reliable tools in the market. It is a cost-effective tool that can be beneficial for organizations looking to deliver quality software and enhance the end-to-end testing process. For more information, visit the website and book a free demo!