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Applying Data Analytics to Test Automation[article] Testers gather lots of metrics about defect count, test case execution classification, and test velocity—but this information doesn't necessarily answer questions around product quality or how much money test efforts have saved. Testers can better deliver business value by combining test automation with regression analysis, and using visual analytics tools to process the data and see what patterns emerge. |
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Embedding Security in a DevOps World[article] Faster DevOps processes also create new challenges. It was difficult enough to add security into a traditional waterfall software development lifecycle with monthly or quarterly releases, but now software updates are released several times a day! What can developers do to build and maintain more secure applications? Here are some ways to encourage better security practices throughout the DevOps lifecycle. |
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Bringing Continuous Testing to Your Organization[article] Continuous testing means all your tests are executing all the time, providing continuous feedback into the quality and health of your applications. In order to achieve continuous testing, you must first adopt the right test automation strategy. Understanding how to bring in all different types of test automation practices as efficiently as possible enables you to get started down the path of continuous testing. |
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Infrastructure as Code: The Foundation of Effective DevOps[article] The absence of versioned infrastructure as code (IaC) and automated provisioning undermines one of the most important benefits of DevOps: the ability to version, manage, and control the servers and networking required to run software applications in development, testing, and production. Automating infrastructure setup and continuous monitoring helps keep system environments stable and less susceptible to outages. |
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A Simpler Way of Using Machine Learning to Shift Testing Left[article] The advantages of shifting left and testing as early as possible are obvious. But as you automate more testing, the test suite grows larger and larger, and it takes longer and longer to run. Instead, just automate the process of finding the right set of tests to run. The key to that is machine learning. This isn't AI bots finding bugs autonomously without creating tests; this is a different way to use machine learning, and it’s far simpler. |
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