Switching your test automation tool from Tricentis Tosca to TestResults doesn't have to be a hassle. We make the migration process part of your onboarding, so you don't have to figure everything out on your own. No need to rebuild all your tests from scratch, we help you transition smoothly, making sure everything works as expected.
Migration is fully customized based on your needs. You get a tailored experience, not a one-size-fits-all approach. Our team handles the setup, so you only do what's necessary. That means less time spent fixing broken tests and more time getting real results.
Worried about learning a new test automation tool? We walk you through the process, ensuring your team is comfortable with the platform from day one. Plus, with TestResults you don't have to deal with flaky tests, our automation is built to be stable and reliable.
Still have questions? Whether it's about test compatibility, costs, or integrations, we're here to help. Migrating from Tosca is a step toward a more efficient, scalable testing setup—let's talk about making it happen.
Frequently asked questions
Is there future for Tosca automation?
Tricentis Tosca has been a strong player in test automation, but its future depends on how well it adapts to evolving industry needs. While it offers scriptless automation and broad enterprise support, many teams find it expensive, complex, and difficult to scale without heavy customization.
Why is TestResults a good Tricentis Tosca alternative?
TestResults is a strong Tricentist Tosca alternative because it eliminates flaky tests, reduces maintenance efforts, and provides a more intuitive approach to automation. Unlike Tosca, it doesn't require constant rework to keep tests stable, making it a better fit for teams that want reliable automation without excessive overhead.
What are the disadvantages of Tricentis Tosca?
Tricentis Tosca can be challenging to work with because it requires a lot of setup and maintenance. While it's designed to be scriptless, getting tests to run reliably often takes more effort than expected. Keeping tests stable as applications change can be a hassle, and the model-based approach means updates aren't always straightforward.
It's also not the easiest tool to pick up, teams often need extra training to use it effectively. Over time, these factors can slow down testing instead of making it more efficient.