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6 Steps to Achieve Realistic, Reliable Load Testing Simulating real users’ behavior gives you a transparent picture of your software's load capabilities. To reproduce users' actions accurately, you can use a request flow design from when the system is in the production environment. Here are six steps for achieving the most realistic load for your load testing process. |
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Using AI to Protect the Earth’s Species In addition to the many ways artificial intelligence and machine learning technologies are changing our everyday life, can they also help save our world? To safeguard the lives of millions of species in our world today, the campaign for Earth Day 2019 is “Protect Our Species,” and AI is already having an impact. |
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The AI Testing Singularity Machine learning is rapidly growing more powerful, already sometimes imitating the actions and judgments of humans better than humans. In the near future, even before machines are conscious, they will be able to mimic human software testers. What will be the impact of AI on testing? Jason Arbon has a bunch of ideas. |
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Leveraging Kubernetes as a Tester Kubernetes is a scalable, production-grade container orchestration tool with automated deployment, scaling, and management capabilities. Using it shortens the feedback loop and enhances communication. Here’s how testers can leverage Kubernetes to quickly gauge application quality and speed up the delivery of value. |
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Continuous Security in Agile Development "Continuous" gets mentioned a lot in agile and DevOps, but one area that often doesn’t get enough attention is how to continuously build, test, and deliver secure applications. Just like for quality, you can’t test security in, so you need to have a plan for how to build it in. Here are some tips on how to do that. |
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The What, Who, and How of Developing a Test Strategy In the world of agile, people often think of test strategy documents as outdated or unnecessary. But having a defined plan of action for how you're going to test a system, application, or business function is always useful. Here's how to break that down into what, who, and how so you can understand your tests' purpose. |
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Making the Switch from Quality Assurance to Quality Engineering The quality engineering approach differs from QA in that quality teams partner with business users and product managers to better understand requirements and to catch problems as products are being built—not after the fact. There are two pillars to building a true quality engineering organization: culture and process. |
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Robotic Process Automation in Software Testing Robotic process automation (RPA) systems develop a list of actions to automate a task by watching a user perform that task in the application's GUI, and then repeating those tasks directly in the GUI. But RPA tools differ from other tools because they can handle data among multiple applications—including for testing. |
