Software Automation Testing Tool Review: mabl

 

 

mabl

Mabl helps you improve the speed and quality of your release pipeline. Now you can test every release, at scale, on a single platform, with no infrastructure to manage.

What is mabl

Mabl delivers scriptless end-to-end test automation, integrated with your delivery pipeline, so you can focus on improving your app. Using proprietary machine learning models, mabl automatically identifies and surfaces application issues quickly, so you can:

  1. Fix bugs fast – Robust test output helps you diagnose and fix bugs fast before they impact your customers.
  2. Ship more code – Tests are automatically repaired when your UI changes so you can spend less time maintaining tests.
  3. Maintain quality – Prevent bad releases with automated regression insights on every build

Features of mabl

Scale

Run your functional UI tests across all major browsers, in parallel, in the cloud, with no operations overhead. Onboard your teams quickly and start creating robust tests in minutes. Fix issues faster with better issue reporting across your teams.

Trust

Auto-healing tests keep your tests stable despite changes to your app UI. No more flippant test results. Tests are always executed securely, and your data is never put at risk.

Intelligence

Test the holistic quality of your application, from user experience to visual design, to performance, with a single platform of curated data from all aspects of your application.

Advantages of mabl

  1. Improve compliance and risk management
  2. Improve business process outcomes
  3. Drive innovation
  4. Improve business process agility
  5. Strong customer focus
  6. Product functionality and performance
  7. Product roadmap and future vision

Create and manage tests more easily

Unlike current automation solutions, next-gen QA tools like mabl do not require scripting expertise. Scripting will largely be replaced by visualized interfaces that enable rapid test creation, easy and automatic test adjustments, and simple dashboard test management. Test coverage can expand significantly, and tests will evolve fluidly with changes and new features.

Run QA faster in the cloud

Many of the most innovative QA tools today exploit rapid-provisioning cloud computing resources for much more efficient parallel test execution. It is easy to extend this approach and tap into highly powerful processing and analytics engines. Hence, to scrutinize every last test result detail and deliver more meaningful QA insights.

AI will adapt tests automatically

Because they employ adaptive, robust methods of simulating user interaction, next-gen QA tools don’t exhibit the brittleness of conventional test automation toolsets. It is no longer necessary to keep the bar low with tests that remain tightly bound to volatile front-end elements. Solutions like mabl leverage machine intelligence to create and maintain elaborate yet elastic test models.

Integrate QA tightly into the delivery pipeline

Far fewer bugs will make it downstream, and it’s much easier to execute tests—comparing results among various environments and builds. Some will contend that the most remarkable result is that release, deployment, promotion, and rollback decisions can indeed be much less stressful.

QA paradigms will transform

Beyond merely validating particular assertions, the new generation of QA frameworks will use machine intelligence to detect, pre-analyze, and enumerate probable regressions automatically. Quality assurance thought patterns would morph away from pass/fail paradigm. Hence, technical leaders increasingly seek to assess the extent to which a change will have a positive or negative impact on overall user experience. The primary focus will shift from code coverage to product coverage—toward a holistic approach that is continually assessing the risk of releasing each successive build.

In Conclusion

Mabl provides a very straightforward and also easy user interface to set up an automated test. Hence, it can perform smoke tests like checking all of the links on a page and report back all of the broken links. In addition to this, the ability to set up test cases without writing a single line of code is incredible. Their ML approach is the key. Therefore, if you need to create an automated test with less programming knowledge, this would be the best tool.

 

 

 

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