Discover the hidden aspects of your application quality and receive actionable insights, free of charge, so you can release better software

Ever wondered if your functional/unit tests cover all of your application’s flows? If all the code changes introduced in the last build were actually tested? If your status is better or worse compared to your previous build and industry standards?

If you answered YES to any of the above questions then the SeaLights automated test quality assessment is for you.

Generate your machine learning based test quality assessment for insights including:

  • Application areas that have never been tested and how risky they are
  • Recently introduced code changes and whether or not they were tested
  • Test efficiency – are they adding value (coverage wise)? Do they overlap?

What you can expect by the end of the test quality assessment?

Launch Evaluation:
30 minute setup and measurement of selected tests

Benckmark Report:
Understand how your test quality stacks up to industry benchmarks and what your tests do not cover

Identify Quality Risks:
Identify test quality and efficiency issues including overlaps and duplicate tests

Quality Assessment:
15 minute quality assessment identifing key areas for improvment and what to do to improve from build to build

“Minimum effort, maximum test quality improvment.
All in one email”

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Discover the hidden aspects of your application quality and receive actionable insights, free of charge, so you can release better software

Ever wondered if your functional/unit tests cover all of your application’s flows? If all the code changes introduced in the last build were actually tested? If your status is better or worse compared to your previous build and industry standards?

If you answered YES to any of the above questions then the SeaLights automated test quality assessment is for you.

Generate your machine learning based test quality assessment for insights including:

  • Application areas that have never been tested and how risky they are
  • Recently introduced code changes and whether or not they were tested
  • Test efficiency – are they adding value (coverage wise)? Do they overlap?