Today, mabl is proud to announce that our intelligent test automation platform has once again been named a Best AI-based Solution for Engineering by the annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today. 

This award is the third time mabl has been recognized as an AI innovator by AI Breakthrough, having been honored with a 2019 and 2020 award in the same category. Mabl’s repeat wins demonstrates how our team is continually focused on delivering innovation to our customers, and the broader quality engineering community. This type of sustained platform growth never happens in a vacuum, so we thank our customers, especially those who participate in our early access programs, for helping mabl build the future of test automation. Your feedback, support, and expertise are essential to our team. 

Implementing Intelligence at all Testing Stages

Mabl harnesses machine intelligence to enhance QA teams’ effort at all stages of software testing, from test creation to test execution to test maintenance. By reducing the amount of rote work throughout the testing process, mabl help quality engineers maximize their time and effort as they improve product quality and support transformations like DevOps. 

Inside the “Mind” of mabl

There are many ways that intelligent test automation with mabl makes life easier for manual testers, QA engineers, and developers. But there are a few features that stand out: 

Autohealing: Mabl features native autohealing test capabilities that capture over 35 unique element attributes during test creation and execution, which helps automatically evolve tests as a website’s UI changes. Mabl’s smart element locators offer an agnostic approach to identifying app changes allowing quality engineers to easily test modern app frameworks like React, Angular, and Vue.js. By automatically updating tests, without the need for human intervention, autohealing test automation improves reliability and team efficiency for faster development that doesn’t sacrifice quality. 

Intelligent Wait: Intelligent Wait reduces test failures by incorporating historical application performance into the timing of actions within tests. During each test run, mabl collects timing data for each step and automatically tailors test execution to match the pace of the application. By mitigating the need to insert manual wait steps or other cumbersome configurations, quality engineering teams can improve test reliability and reduce false positives without any extra work, saving them valuable time and effort. 

Page coverage: mabl’s page coverage feature uses machine learning to combine similar application URLs to give mabl users useful insights about real application usage. For example, when multiple webpages are actually customized versions of the same page, such as individual user workspaces, it’s more efficient to focus testing on the general functionality the pages provide. Page coverage allows quality engineering teams to understand how to more effectively prioritize tests for better test coverage and fewer low-impact tests. 

Empowering Quality Teams with Intelligence 

At mabl, our goal is empowering quality teams to lead transformations like DevOps adoption, advocate for more inclusive user experiences, and maximize their talents with intelligent, low-code test automation. AI and machine learning are frequently cited as critical tools for the future of software development as applications become more complex, and the mabl team is dedicated to ensuring that everyone - regardless of coding experience - can use these technologies in their work. We’re proud to be named a 3-peat “Best AI-based Solution for Engineering” by AI Breakthrough - we’ll see you next year for a fourth win! 

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