Source: devops.com
Eggplant Employs AI to Surface Test RecommendationsCategory: automation, artificial-intelligence
Eggplant this week announced it has extended the capabilities of its application testing platform infused with machine and deep learning algorithms to now include recommendations to help improve tests. In addition, the latest update to the Digital Automation Intelligence (DAI) Platform makes it easier to onboard new members to an application testing team.
By employing a testing platform based on a low-code platform that enables tests to be created using modeling tools, it becomes feasible to include more end users in the testing process, he said.
There will always be a need to include humans in the testing process, but Edwards noted AI can augment the capabilities of testing teams in a way that not only allows more tests to be conducted faster but also ensures more resources are allocated to writing code, versus continually debugging applications.
Most testing teams are not going to be able to create the tests needed to assure the quality of those applications unless it becomes possible to generate more sophisticated tests using modeling tools that automate much of the process.
By employing a testing platform based on a low-code platform that enables tests to be created using modeling tools, it becomes feasible to include more end users in the testing process, he said.
There will always be a need to include humans in the testing process, but Edwards noted AI can augment the capabilities of testing teams in a way that not only allows more tests to be conducted faster but also ensures more resources are allocated to writing code, versus continually debugging applications.
Most testing teams are not going to be able to create the tests needed to assure the quality of those applications unless it becomes possible to generate more sophisticated tests using modeling tools that automate much of the process.
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