Testing is critical for organizations like NASA, the US Army, Northrop Grumman, BAE Systems, Lockheed Martin, MBDA, the UK’s Ministry of Defense and the Metropolitan and Scottish Police, where lives are on the line. As we've worked with customers like these over many years, we've noticed how much more testing is than just making sure the system works — it’s about ensuring we test for mission success and continuously optimize mission outcomes. Whether you're designing systems for command and control (C2); to provide support for complex police operations, such as hostage negotiations; or for shooting down an enemy missile, you should plan your testing and monitoring strategy to continuously test against the desired mission outcomes.
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.
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.
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.
It’s no secret that the digital revolution is quickly changing the way businesses and customers interact with each other. Like Blockbuster, companies that don’t understand the evolving needs and tastes of their customers will die, while companies like Netflix that fail fast, quickly adopt technology, and evolve, will thrive.