AI-Powered Continuous Integration and Continuous Deployment (CI/CD)
Date: 06/11/24
By: Krzysztof Lewczuk
AI is transforming software testing by automating complex tasks and enhancing accuracy. This article explores how Applitools, Testim, and Mabl are leading the charge in revolutionising the testing landscape with their advanced AI capabilities.
Software testing is a critical component of the Software Development Life Cycle (SDLC), ensuring that applications function correctly and meet user expectations. Traditionally, testing has been time-consuming and prone to human error. However, AI-powered tools are now revolutionizing this phase by automating testing processes, improving precision, and reducing time to market. This article examines three cutting-edge AI tools – Applitools, Testim, and Mabl – that are redefining software testing.
Applitools is an AI-driven visual testing tool that enhances the efficiency and accuracy of software testing. One of its standout features is the ability to create tests by describing the test flow in natural language. This allows testers to easily write and understand test cases without needing extensive programming knowledge. Applitools offers automated scanning and crawling of sitemaps to autonomously build tests, eliminating the manual effort typically required to set up comprehensive test suites. These features not only enhance productivity but also ensure thorough test coverage for web and mobile applications.
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Testim is an AI-driven test automation platform designed to optimise the creation and maintenance of automated tests. It harnesses machine learning to improve test stability and reliability, automatically adjusting tests to accommodate changes in the application’s UI. Testim’s dynamic locators and self-healing capabilities minimise test maintenance efforts, allowing teams to focus more on developing quality software and less on managing test scripts. Its intuitive interface and integration with popular CI/CD tools facilitate seamless test automation within agile development workflows.
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Testim’s approach to locating elements is great: instead of relying on a single selector, its AI-powered smart locators comprehensively scan the entire web application page to analyse the structure and relationships between elements. This algorithm evaluates locators, assigning confidence levels to each element based on its findings.
Mabl is an innovative test automation platform designed to simplify and enhance the software testing process. It stands out with its autonomous testing capabilities, allowing teams to create and maintain tests effortlessly. Mabl’s AI algorithms automatically detect regressions and adapt tests to changes in the application, minimising manual intervention and reducing test maintenance overhead. Its intuitive interface and integration with CI/CD pipelines enable seamless adoption within agile development workflows, empowering teams to deliver high-quality software continuously and efficiently.
Besides its auto-healing feature, Mabl also offers intelligent wait functionality. Mabl intelligently manages wait times during test execution by dynamically adjusting wait periods based on the application’s responsiveness. In the initial executions of a new test, Mabl may run slower as it determines appropriate waiting intervals. As Mabl gains a deeper understanding of your application’s expected timing, you can expect to see decreased wait times in subsequent runs. This ensures that tests proceed efficiently without unnecessary delays, enhancing overall test speed and reliability.
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AI tools like Applitools, Testim, and Mabl are revolutionizing software testing by automating complex tasks, enhancing accuracy, and reducing maintenance efforts. Applitools simplifies test creation with natural language, Testim’s smart locators adapt to UI changes, and Mabl’s intelligent wait functionality ensures reliable test execution. By incorporating these AI-driven tools, development teams can achieve higher quality software, faster release cycles, and a more streamlined testing process.
Date: 06/11/24
By: Krzysztof Lewczuk
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