TypeMock Launches Test Review to Identify Duplicate, Fragile and Ineffective unit Tests
Unit testing solutions provider TypeMock today launched Test Review, a new offering designed to help development teams evaluate whether AI-generated unit tests are delivering value and quality.
Test Review, the company wrote in its announcement, aids developers by “identifying duplicate, fragile, ineffective and high-maintenance tests” now that more tests are being created by artificial intelligence. By bringing together data around runtime execution and code coverasge with dependency analysis, assertions and mocking behavior, Test Review can analyze what happens when the tests are running and evaluates whether “a test contributes meaningful confidence to the overall quality of the test suite,” the company wrote.
“For years the industry focused on creating more tests,” said Eli Lopian, founder and CEO of TypeMock. “Today the challenge is understanding which tests deserve to exist. A passing test is not necessarily a useful test. Test Review helps teams identify tests that increase confidence and eliminate those that simply increase maintenance.”
Among Test Review’s capabilities is the ability to identify hidden external dependencies on files, network resources, registry settings and external processes that can cause flaky tests, TypeMock noted in its announcement.
TypeMock has a long history in automatic test generation, going back to its Test Suggest technology introduced in 2016 for IsolatorV8 for .NET. Now, Test Review integrates with Visual Studio, MSTest, Azure DevOps Pipelines and TypeMock SmartRunner developer workflows.
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