Functionize Self Healing with Machine Learning Demo | Functionize

The Functionize Self Healing with Machine Learning demo shows how Functionize uses machine learning to heal automated tests, even when the underlying application changes.

Functionize Self Healing with Machine Learning Demo

The demo begins with an overview of the Functionize platform and how it uses AI and machine learning to speed up testing time. It then shows how Functionize Self Healing works to heal automated tests when the underlying application changes.

The demo then shows how to use Functionize Self Healing to heal a broken test case. It also shows how to view and analyze the changes that Functionize Self Healing made to the test case.

The demo ends with a summary of the benefits of using Functionize Self Healing, which include:

  • Reduced test maintenance costs
  • Improved test quality
  • Increased test coverage
  • Reduced time to market

Overall, the Functionize Self Healing with Machine Learning demo is a good overview of how to use Functionize Self Healing to improve the testing process.

Here are some additional benefits of using Functionize Self Healing:

  • Improved test reliability:¬†Functionize Self Healing helps to ensure that your automated tests are always reliable, even when the underlying application changes. This can help you to reduce the number of false positives and false negatives in your test results.
  • Reduced time to market:¬†Functionize Self Healing can help you to reduce the time that it takes to bring new features to market. This is because you can be confident that your tests will continue to pass, even when the application changes.
  • Improved team productivity:¬†Functionize Self Healing can free up your team to focus on more strategic tasks, such as developing new features and fixing bugs. This is because they no longer have to spend time maintaining automated tests.

If you are looking for a way to improve the testing process, I encourage you to consider using Functionize Self Healing.

Leave a comment