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Testplant announced the availability of the latest version of its Eggplant AI product.
Eggplant AI 2.0 uses AI, machine learning, and analytics to intelligently navigate applications, predict where quality issues are most likely to occur, and correlate data to help product teams quickly identify and resolve issues.
Eggplant AI 2.0 offers enhanced bug-hunting capabilities: machine learning algorithms that identify the patterns of where defects are most likely to occur in the application or software, and then auto-generate the tests for these user journeys. This significantly increases the effectiveness and efficiency of testing, delivering real improvements to the app that users notice.
Test teams also have specific smoke test user journeys that they always need to test, regardless of how likely they are to find defects. Eggplant AI 2.0 enables testers to quickly and easily define these directed tests that must be executed, as well as combine both manually defined regression tests and advanced, intelligent, AI-based tests.
Eggplant AI 2.0 is part of the Digital Automation Intelligence Suite that includes Eggplant Manager to orchestrate test execution, Eggplant Automation Cloud to manage hosted test devices, and Eggplant Integrations to integrate with the rest of your CI/DevOps infrastructure.
“In a digital world, rapid time to market and delighting customers are the keys to success," said Antony Edwards, CTO, Testplant. "Only companies that embrace intelligent test automation for software and apps will be able to keep pace with customer demands. Eggplant AI 2.0 is a huge leap forward in the evolution of test automation. It uses AI and neural networks in a meaningful way to auto-generate tests and focus test execution on the user journeys most likely to find defects and help improve the user experience. This is the future of testing and is the only way software and app vendors are going to keep up with the demands of users and the pace of DevOps.”