SmartFix

One-click suggestions to fix three types of common scenarios

smartfix - save maintenance time, find root cause fast

Save Maintenance Time

Reduce troubleshooting efforts by easily identifying the root cause

ML helps to find multiple solutions and rank them

Easy to Update

Our machine learning tests multiple possible solutions and ranks them so you can choose

Smartfix covers most common scenarios because it learns on millions of tests

Common Scenarios

Collecting data from millions of tests, our system can easily pinpoint common failure reasons

Element Section Suggestion

When your application changes, oftentimes the elements in your test are no longer detected. If we can find an alternate element that seems correct, we suggest it to you. You can simply pick the correct element and update the test directly from a screenshot.

Verification Selection Suggestion

As your application evolves over time, tests that should pass can start to fail due to an overly strict test. A great example is if you are using “equals” instead of “contains” to verify attributes. In this type of scenario, we suggest a one-click fix to correct the verification and select a new

Password Warning

Passwords change all the time, so your tests should not break simply due to incorrect or expired passwords. Of course, we cannot suggest the right password for you, but we will suggest you to update the password without having to debug the test manually.

With Functionize, I spend almost no time manually maintaining our test suites.

Leslie
Non-engineer nor QA background, Sytrue

Download Datasheet

AI-Powered Testing

Functionize is the industry’s most advanced enterprise AI-powered testing. We help teams break through testing barriers and enable organizations to release faster.

Learn how Functionize intelligent testing platform can help you:

  • Create AI-powered tests using Architect or plain English via natural language processing
  • Reduce test maintenance time by 85% with self-healing tests
  • Scale test execution and run cross-browser tests in parallel