Test management tips & trends
Best Practices
This article explores the integration of AI and ML models into software products, emphasizing the challenges faced by QA professionals. It introduces the Model Context Protocol (MCP), which facilitates seamless connectivity between AI models and external data. The post provides an accessible explanation of MCP, highlights essential knowledge for QA teams, outlines testing strategies for MCP-based systems, and showcases how tools like Test Collab can enhance the QA process.
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For many teams it is essential to work with different branches at same time so the main repository stays stable while development can still progress at a fast rate.
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Several times things go wrong during test execution or a new revision is committed by developers which renders testing useless. In such scenarios, you can now re-execute a test execution instead of creating it all over again.
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We’re proud to announce our latest release Test Collab v1.12, which introduces Test Plans, an in-built requirements management engine, new coverage reports: for entire project, version-wise and module-wise and several enhancements and bug fixes.
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Do you know Test Collab stores all revisions of your test case? So every time you make a change in your test case, the old revision is automatically stored.
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Creating same kind of test executions is a hassle, especially when you find yourself selecting same set of cases again and again.
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We just released new test case distribution report.
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