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Assuring quality pre-release hinges on one question: Did you run the optimal set of tests to de-risk changes made in that iteration? Too often, testing cannot answer this question, due to poor traceability between tests, user stories, code and data.
Discover how you can make every release with confidence.
Dive deeper into how automated test generation can target tests based on changing user stories and code and how to boost observability and traceability.
Explore how tracking tests at the code and data level boosts observability and how to use database comparisons verification with UI and API tests.
James Walker and Peter Elger will set out ways for linking tests, user stories, code and data, generating targeted tests based on changes across the SDLC.
Curiosity believes that better requirements and better tests create better code. That's why our tools generate optimised user stories, tests, and data in sprint, pushed to your existing tools and frameworks.
Software solutions for the next age.
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