GEN AI can automatically generate test cases, saving time and improving test coverage by creating diverse scenarios based on the codebase.
AI-driven tools can quickly identify patterns and potential defects in the software, making it easier to catch bugs early in the development cycle.
GEN AI can create more comprehensive tests by exploring areas of the application that might otherwise be overlooked by human testers.
By automating repetitive tasks such as test execution and result analysis, AI significantly reduces the need for manual intervention, increasing efficiency.
AI can optimize existing test scripts, making them faster and more reliable by adjusting for changes in the application or test environment.
GEN AI streamlines the testing process, helping teams release products faster with fewer errors, improving overall productivity and reducing development time.
AI supports continuous integration/continuous delivery (CI/CD) pipelines by providing real-time feedback and automating the testing of new builds, ensuring consistent software quality.