Software Test Generation uses AI to generate and execute automated test cases, enabling faster and more thorough software validation, by analysing code and prior test results to produce test scripts, across CI/CD pipelines and agile delivery environments.
Software teams rely on manually authored test suites that are slow to build, fragile to maintain, and consistently under-cover edge cases, slowing delivery velocity and allowing regressions to reach production.
The AI analyses code changes and existing test libraries to generate new test cases, flag redundant or obsolete tests, and prioritise execution order for each build, outputting a runnable test suite.
Enhances productivity, accuracy, and coverage while reducing manual testing effort
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