TestPlant introduces machine learning to software testing with Eggplant AI 2.0

TestPlant, the London-based specialist in test automation, has announced the release of the latest version of its Eggplant AI product, a tool designed to predict where issues in software are most likely to occur. Eggplant AI 2.0 uses artificial intelligence, machine learning, and analytics to navigate applications, predict where quality issues are most likely to occur, and correlate data to help product teams quickly identify and resolve issues. Due to the infinite number of ways a user can navigate through any application, test teams cover less than 1% of the possible user journeys in their testing, the company said in a statement. Teams have to estimate where issues are most likely to be and then manually create automated test scripts to test those user journeys. Eggplant AI 2.0 aims to solve this problem with 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. Antony Edwards, CTO at TestPlant, said: “In a digital world, rapid time to market and delighting customers are the keys to success. 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.” Eggplant AI 2.0 is part of the company’s Digital Automation Intelligence Suite, which 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.