Eggplant Blog

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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Don’t Test the Code, Test the Business

5/24/18 / by John Bates posted in intelligent testing, Eggplant Digital Automation Intelligence Suite, QA, continuous delivery, continuous integration, intelligent monitoring, user journey, testing strategy, testing best practices, UX testing, UX, User experience testing, User Experience, Test automation, Digital Experience

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Quality assurance (QA) used to be a compliance activity. You were releasing a product and needed to test it and stamp it “approved.” QA was about testing that the code worked. You might manually test the code. You might have even tried some automation — coding a set of test scripts that would try to capture regressions or errors that you had eradicated in the past, but which somehow crept back in. All in all, you were reasonably satisfied that you achieved a level of test coverage that met your goals. Then, you put your code into production and crossed your fingers that nothing went wrong. And if it did, you tried to fix it as quickly as humanly possible.

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A Babel Fish for Testing

5/2/18 / by John Bates posted in intelligent testing, fusion engine, Digital Experience, Eggplant Digital Automation Intelligence Suite, QA, continuous delivery, continuous integration, user journey, APIs, IOT, User Experience, Test automation

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It used to be that software testers could test their applications on just one platform, and only have to worry about testing that the code worked.

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The Journey to True Test Automation is Shorter Than You Think

3/13/18 / by JB Brockman posted in test automation strategy, continuous delivery, analytics, user journey, artificial intelligence, User experience testing, test execution, Software testing tools, Real User Experience, Digital Experience, DevOps

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Everything about software has changed—how it’s architected, developed and produced, what it does, what users want from it, and how often they expect new features. To keep up, organisations are turning to continuous delivery and DevOps. Yet product teams still do a lot of manual testing, which consumes a lot of time they don’t have, thanks to shrinking test windows. Incorporating automation into your testing approach is a great strategy, but figuring out where and how to start isn’t necessarily quick and easy.

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A Modern Testing Perspective, Plus Cool New Features in iOS Gateway 5.0

2/21/18 / by David Vernon posted in continuous delivery, iOS Gateway, API testing, testing strategy, UX testing, User experience testing, UX, software testing, Eggplant solutions

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This blog is only partially about our newest iOS Gateway 5.0 release with device and simulator support for Touch ID and Face ID (which is super cool, but more about that later). It’s also a blog about how testing has changed — a lot — in a short amount of time.

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Better Bug Hunting for Improved Team Productivity: Announcing Eggplant AI 2.0

2/13/18 / by JB Brockman posted in artificial intelligence, digital automation intelligence, Digital Experience, test automation strategy, continuous delivery, analytics, user journey, testing strategy, User Experience, Test automation, Software test automation

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We recently co-hosted a webinar with Bloor Research about the Future of Testing, and in it, we conducted an informal poll about artificial intelligence (AI) and testing. When we asked what everyone thought the biggest advantage was to incorporating AI into a test automation strategy, attendees overwhelmingly selected team productivity and efficiency.

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Are You Ready for the Future of Testing?

1/31/18 / by JB Brockman posted in Software test automation, Test automation, artificial intelligence, DevOps, continuous delivery, digital automation intelligence, User Experience, test automation strategy

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The focus on artificial intelligence (AI) in general, in technology, and particularly in testing, is prompting organizations worldwide to take it seriously. It’s hard to ignore AI’s potential benefits, including improved productivity and efficiency, fewer defects, a better UX, and happy customers. And with DevOps and continuous delivery here to stay, staying relevant depends on keeping pace, which is why test automation is so critical.

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