Testplant Releases Eggplant AI 2.0
February 13, 2018

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.”

The Latest

October 22, 2018

Embracing DevOps at enterprise scale requires a seismic shift in the way an organization plans, builds, tests, releases, and manages applications. Here are four ways to ensure your enterprise DevOps transformation is a success ...

October 18, 2018

Are applications teams prepared to manage the chaos arising from an ever-growing landscape of heterogeneous deployment types? A recent survey of application and operations professionals sought to better understand how the industry is shifting and what the future of DevOps might look like. Here is what the survey uncovered ...

October 16, 2018

More than half of organizations have a dedicated DevOps team to help them better implement agile strategies, accelerate release cycles and ensure continuous development. However, databases have a habit of holding DevOps back ...

October 15, 2018

Test Environment Management can save organizations close to $10,000 for each release, yet only four percent of large enterprises have fully integrated TEM processes into organizational DNA, according to the 2018 Test Environment Management Survey released by EMA and Plutora ...

October 11, 2018

Agile is indeed expanding across the enterprise and there was a significant jump from last year to this year in the percentage of respondents who indicated that all or almost all of their teams were agile, according to the State of Agile 2018 report from CollabNet ...

October 09, 2018

Adopting a modern application architecture is critical to business success and a significant driver of profit growth in today’s digital economy, according to the results of a global survey of IT and business executives released by CA Technologies and conducted by Frost & Sullivan ...

October 04, 2018

How do you integrate tools to enable shift-left performance? The following tools will simplify maintenance, can be managed in a centralized way, and provide an easy-to-use UI to comprehend results ...

October 03, 2018

Focusing at the API layer of an application can help enable a scalable testing practice that can be efficiently executed as part of an accelerated delivery process, and is a practice that can be adopted and enabled at the earliest possible stages of development — truly shifting left functional testing. But what about performance testing? How do we enable the shift left of nonfunctional testing? Here, we explore what this means and how to enable it in your organization ...

October 01, 2018

As businesses look to capitalize on the benefits offered by the cloud, we've seen the rise of the DevOps practice which, in common with the cloud, offers businesses the advantages of greater agility, speed, quality and efficiency. However, achieving this agility requires end-to-end visibility based on continuous monitoring of the developed applications as part of the software development life cycle ...

September 27, 2018

Imagine that you are tasked with architecting a mission-critical cloud application. Or migrating an on-premise app to the cloud. You may ask yourself, "how do the cloud savvy companies like Airbnb, Adobe, SalesForce, etc. build and manage their modern applications?" ...

Share this