Eggplant Blog

Test Automation Just Got More Intelligent

2/21/19 / by Peter Cherns posted in Eggplant Release Insights, release quality, analytics, test coverage, bug hunting, Test automation, Eggplant AI, intelligent automation, Software testing tools

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There are two things you should know about the latest release of Eggplant AI, our intelligent test automation solution.

1: It will give you much greater insight into the quality of your releases.

2: It will make your testing process more focused and more efficient.

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Effortless Performance Testing with Eggplant Performance 9.0

12/18/18 / by Gareth Smith posted in artificial intelligence, model-based testing, intelligent testing, Eggplant AI, eggPlant Performance, Load testing, Performance testing

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Performance testing just got a lot easier.

While delivering quality at scale is essential, simply setting up a performance test can be a challenging and time-consuming exercise, and then you need to analyze it. So, despite its importance, performance testing is not commonly used during development cycles.

“Effortless Performance Testing” in Eggplant Performance 9.0 changes all that, with a simple-to-use load testing capability that re-uses your existing Eggplant AI assets. So you can now run performance load tests on your system with no technical knowledge and no coding.

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Eggplant Functional 18.2: Usability testing, automatic script checker, and much more

12/11/18 / by Pamela Gillaspie posted in model-based testing, Eggplant AI, intelligent testing, Eggplant solutions, UX, software testing, Functional testing, usability testing

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We recently released the much-anticipated Eggplant Functional 18.2, which includes some truly exciting innovations.

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Eggplant Functional 18.1: Exciting new features for faster, more efficient testing

7/17/18 / by Pamela Gillaspie posted in model-based testing, Eggplant AI, intelligent testing, Eggplant solutions, JUnit 5, Appium, UX, software testing, Functional testing

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Earlier this month, we released Eggplant Functional v18.1. This latest version introduces a variety of new features designed with speed and efficiency in mind, and to bring Eggplant Functional and Eggplant AI closer together. Read on to see what’s in store when you upgrade. 

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Introducing Eggplant AI 2.1 and New Accelerators

7/12/18 / by Gareth Smith posted in Eggplant AI, artificial intelligence, real user insights, model-based testing, real user monitoring, intelligent testing, continuous delivery, continuous integration

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Shift Up: Out of One Tool, Many

5/31/18 / by Michael Giacometti posted in User Experience, User experience testing, voice recognition software, test management, DevOps, Eggplant AI, artificial intelligence, shift up, shift right, shift left

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This is Michael's third blog in his Shift Up series. You can read the first blog here and second blog here.

On May 21, 2018, Bank of America announced that it was rolling out its chatbot, Erica, to all its mobile customers. On the surface, the premise makes sense. It’s making the bank more relatable. It’s providing real-time customer support to people where artificial intelligence (AI) assistants like Siri and Alexa are becoming the norm. It doesn’t have the limitations that some phone-based IVRs have, and it aims to provide immediate assistance instead of making us wait for a human (we’ve all shouted “representative” or pressed zero dozens of times to get a real person). Erica is a great way for Bank of America to optimize the customer experience.

But let’s pull back the covers and ask some basic questions. How does Erica know the customer so well?  How does Erica pull from different sources of information? How does Erica know what products and services to offer? What systems, both homegrown and third party, does Erica need to be effective? 

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