Cover Key Features

Deliver Java code with speed, confidence and insight thanks to AI for Code and the power of unit testing

Diffblue Cover Key Features

Cover Core

Diffblue Cover Core uses AI to automatically write JUnit tests so developers don’t have to. The unit tests Cover writes are ready to use immediately; they compile, run and accurately validate the current behavior of your code. Better yet, Cover Core operates completely autonomously - raising and maintaining coverage levels without any developer overhead. Cover Core can write a year’s worth of unit tests in just 8 hours.

Cover Reports

Diffblue Cover Reports delivers valuable insights about your Java codebase and lets you pinpoint unique, actionable insights that improve quality and efficiency. Granular unit test coverage reports combine with information on variables like code quality, testability and complexity, for a more holistic view of unit testing. With Cover Reports you can realize more value from unit testing by understanding exactly where risk lies and what to do about it.

Cover Optimize

Diffblue Cover Optimize lets you deliver better Java code more quickly by minimizing the time needed to run unit tests, whether on the developer desktop or in a Continuous Integration (CI) pipeline, so developers get feedback fast. Instead of running your entire unit test suite to check every code change, with Cover Optimize you only run the JUnit tests required to fully validate that change hasn’t introduced regressions.

Cover Refactor

Diffblue Cover Refactor is code optimization technology that uses AI to automatically make Java code more testable and increase unit test coverage. Cover Refactor can make the necessary changes to your code automatically, to reduce the risk of regressions and help you get more value from unit testing.

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FAQs

What is Diffblue Cover?

Diffblue Cover creates suites of unit tests that run in your continuous integration pipeline between versions and protect against regressions, so you can catch errors faster and earlier in the software development lifecycle. To learn more, see our our product page.

What are the benefits of using Diffblue Cover?

Diffblue Cover helps your team increase automation of your CI pipeline.

For development teams, this:

  • improves velocity and quality of the software you deliver
  • frees up time to focus on creating new features

For DevOps teams, this:

  • helps catch errors and issues earlier (shift left!)
  • improves deployment frequency, lead time, and mean time to repair (MTTR)

Will the tests find regressions in my code?

Yes. Diffblue Cover quickly generates tests that will allow you to adopt CI. The generated tests will help developers quickly identify regressions in subsequent commits before committing new versions.

What are the requirements for running Diffblue Cover?

See the product datasheet for more information.

How can I learn more about customers using Diffblue Cover?

See our case study on how Goldman Sachs has benefited from using Diffblue Cover to increase coverage and create a safety net against regressions.

For example of other ways our customers use Diffblue Cover, click here.

How do we maintain Diffblue unit tests in the future?

Diffblue regression suites are maintained automatically and updated with each new code version to capture the current behavior of the code.

How does Diffblue Cover help me adopt Continuous Integration?

Diffblue Cover AI analyzes your code and writes Java unit tests that run in a CI pipeline after each commit. Cover’s tests:

  • Always compile
  • Run quickly
  • Detect regressions from previous versions
  • Improve coverage
  • Are easy to understand

Should our team stop writing unit tests after adopting Diffblue Cover?

No. Diffblue Cover is meant to complement your own unit tests and help you catch regressions.

How is a unit test different from a Diffblue regression suite?

Developers write individual unit tests to test specific functionality. Diffblue regression suites are generated automatically to help find regressions early in the development cycle. Find out more in our Unit Regression Tests eBook.