Want advise me on how to improve automated test coverage with Diffblue

[jarethdf]

Hey everyone,

I have been using Diffblue & I am thrilled with how much it is automated my testing procedure. I want tips on improving test coverage and getting more comprehensive results from Diffblue is tests.

what are some best practices you’d recommend? Are there specific areas where Diffblue shines or maybe where I might need to tweak things for better performance?

I want to know how to handle more complex code and edge cases. Also any advice on integrating Diffblue with other tools in my CI/CD pipeline would be super helpful!

As well, I found these resources when doing research on this; https://forum.diffblue.com/t/unable-to-achieve-high-code-coverage-using-diffblue/866I have heard that AI can significantly enhance test generation, so if you have got any insights on using AI powered features to improve coverage or accuracy.

Thank you…….

[Jane_Walls]

Hi @jarethdf

It’s great to hear that you’re enjoying Diffblue Cover!

You asked a good question, and we have several resources in our documentation that can help on all topics:

• Improving Code Coverage: How to improve code coverage explains how to enhance the tests generated by Cover, especially by providing more context about your application.
• CI/CD Integration: Cover Pipeline has detailed instructions on integrating Cover into your CI/CD pipeline. For additional guidance on incorporating the CLI into your workflow, check out Reference Deployment (note that CI integration requires Teams or Enterprise edition).

Regarding your question about AI’s impact on test generation, our Case Studies showcase real examples of its effectiveness.

I hope this helps! Let me know if you have any follow-up questions.

Kind regards,

Jane @ Diffblue