Digy4 AI introduces the "Common Errors" Feature
In today's competitive landscape, speed to market is everything. However, at least 30-40% of companies report that their speed to market could be significantly increased if their bug analysis time was reduced. Time-consuming manual analysis of failed test cases slows down testing cycles and delays releases, making it harder to stay ahead of competitors.
At Digy4 AI we are committed to solve real world QA challenges and aligning with that commitment we are proud to introduce “Common Errors” AI feature which is designed to make testing workflow more efficient and faster.
?What is the Common Errors AI feature?
The Common Errors feature helps users streamline their test analysis process by grouping similar test failures together. Instead of debugging through each test case individually, this feature allows you to drill down into specific error groups, providing a quick view of all the test cases that failed due to a particular issue.
With this grouping, you can focus on one test case per group, significantly reducing the time required to identify and address issues.
How It Works: Powered by Advanced AI Algorithms
This innovative feature leverages the advanced LLM-based algorithms, to identify and group similar errors. But that’s not all—before the grouping process begins, error messages are sanitized and refined using AI models, ensuring the most accurate grouping possible. The result? More effective error grouping
Key Benefits of the Common Errors Feature:
Stay ahead of the curve by exploring the Common Errors Feature and many more tools that are designed to optimize your testing experience.
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