Tricentis introduces a GenAI-powered Copilot for qTest, simplifying and speeding up test case generation with advanced automation.
Tricentis has expanded its AI capabilities with the launch of a third Copilot, now for its qTest platform. This new GenAI feature allows users to automate and accelerate test case creation, enhancing both test coverage and overall software quality. By leveraging AI, qTest Copilot identifies gaps in testing coverage and proposes additional scenarios, solving the common challenge of overlooked or incomplete testing processes.
The qTest Copilot works by analyzing source documents and user requirements fed into its large language model (LLM), automatically drafting test cases and test steps within seconds. This automation saves QA teams significant time—up to 20 minutes per case—allowing them to focus on complex, high-value tasks instead of repetitive test creation. The Copilot can also regenerate test steps and summarize or expand outputs as needed, ensuring that QA teams have control over customization without sacrificing efficiency.
The GenAI-powered tool provides flexible features, enabling teams to generate comprehensive test coverage quickly while also filling in potential testing gaps with additional scenarios. This approach ensures applications are tested thoroughly before release, improving software reliability and speeding up delivery. Feedback from early users highlights measurable improvements in productivity and more robust test coverage.
Tricentis plans to further develop qTest Copilot with enhanced test-case discovery features, mapping requirements to existing cases and improving test quality assessments. With AI-driven testing rapidly becoming essential in DevOps, Tricentis’s research shows that DevOps practitioners value AI’s impact on testing more than any other software lifecycle stage. As the industry leans further into AI, qTest Copilot demonstrates how GenAI can transform and streamline software quality assurance.